6.1.1 ACTA

• Name:
  A Tool for Argumentative Clinical Trial Analysis
• Keywords:
  Artificial intelligence, Natural language processing, Argument mining
• Functional Description:
  Argumentative analysis of textual documents of various nature (e.g., persuasive essays, online discussion blogs, scientific articles) allows to detect the main argumentative components (i.e., premises and claims) present in the text and to predict whether these components are connected to each other by argumentative relations (e.g., support and attack), leading to the identification of (possibly complex) argumentative structures. Given the importance of argument-based decision making in medicine, ACTA is a tool for automating the argumentative analysis of clinical trials. The tool is designed to support doctors and clinicians in identifying the document(s) of interest about a certain disease, and in analyzing the main argumentative content and PICO elements.
• URL:
  http://­ns.­inria.­fr/­acta/
• Contact:
  Serena Villata

6.1.2 ARViz

• Name:
  Association Rules Visualization
• Keyword:
  Information visualization
• Scientific Description:
  ARViz supports the exploration of data from named entities knowledge graphs based on the joint use of association rule mining and visualization techniques. The former is a widely used data mining method to discover interesting correlations, frequent patterns, associations, or casual structures among transactions in a variety of contexts. An association rule is an implication of the form X -> Y, where X is an antecedent itemset and Y is a consequent itemset, indicating that transactions containing items in set X tend to contain items in set Y. Although the approach helps reduce and focus the exploration of large datasets, analysts are still confronted with the inspection of hundreds of rules in order to grasp valuable knowledge. Moreover, when extracting association rules from named entities (NE) knowledge graphs, the items are NEs that form antecedent -> consequent links, which the user should be able to cross to recover information. In this context, information visualization can help analysts visually identify interesting rules that are worthy of further investigation, while providing suitable visual representation to communicate the relationships between itemsets and association rules.
• Functional Description:
  ARViz supports the exploration of thematic attributes describing association rules (e.g. confidence, interestingness, and symmetry) through a set of interactive, synchronized, and complementary visualisation techniques (i.e. a chord diagram, an association graph, and a scatter plot). Furthermore, the interface allows the user to recover the scientific publications related to rules of interest.
• Release Contributions:
  Visualization of association rules within the scientific literature of COVID-19.
• URL:
  http://­covid19.­i3s.­unice.­fr:8080/­arviz/
• Publication:
  hal-03292140
• Contact:
  Marco Alba Winckler
• Participants:
  Aline Menin, Lucie Cadorel, Andrea Tettamanzi, Alain Giboin, Fabien Gandon, Marco Alba Winckler

6.1.3 CORESE

• Name:
  COnceptual REsource Search Engine
• Keywords:
  Semantic Web, Search Engine, RDF, SPARQL
• Functional Description:

  Corese is a Semantic Web Factory, it implements W3C RDF, RDFS, OWL RL, SHACL, SPARQL 1 .1 Query and Update as well as RDF Inference Rules.

  Furthermore, Corese query language integrates original features such as approximate search and extended Property Path. It provides STTL: SPARQL Template Transformation Language for RDF graphs. It also provides LDScript: a Script Language for Linked Data. Corese provides distributed federated query processing.

• URL:
  http://­project.­inria.­fr/­corese
• Contact:
  Olivier Corby
• Participants:
  Erwan Demairy, Fabien Gandon, Fuqi Song, Olivier Corby, Olivier Savoie, Virginie Bottollier
• Partners:
  I3S, Mnemotix

6.1.4 Corese Server

• Name:
  Corese Server
• Keywords:
  Semantic Web, RDF, SPARQL, OWL, SHACL
• Scientific Description:
  This library provides a Web server to interact with Corese via HTTP requests. In includes a SPARQL endpoint and the STTL display engine to generate portals from linked data (RDF).
• Functional Description:
  This library provides a Web server to interact with Corese via HTTP requests. In includes a SPARQL endpoint and the STTL display engine to generate portals from linked data (RDF).
• Contact:
  Olivier Corby
• Participants:
  Alban Gaignard, Fuqi Song, Olivier Corby
• Partner:
  I3S

6.1.5 CREEP semantic technology

• Keywords:
  Natural language processing, Machine learning, Artificial intelligence
• Scientific Description:
  The software provides a modular architecture specifically tailored at the classification of cyberbullying and offensive content on social media platforms. The system can use a variety of features (ngrams, different word embeddings, etc) and all the netwok parameters (number of hidden layers, dropout, etc) can be altered by using a configuration file.
• Functional Description:
  The software uses machine learning techniques to classify cyberbullying instances in social media interactions.
• Release Contributions:
  Attention mechanism, Hyperparameters for emoji in config file, Predictions output, Streamlined labeling of arbitrary files
• Publications:
  hal-01906096v1, hal-01920266v1
• Contact:
  Michele Corazza
• Participants:
  Michele Corazza, Elena Cabrio, Serena Villata

6.1.6 DBpedia

• Name:
  DBpedia
• Keywords:
  RDF, SPARQL
• Functional Description:
  DBpedia is an international crowd-sourced community effort to extract structured information from Wikipedia and make this information available on the semantic Web as linked open data. The DBpedia triple stores then allow anyone to solve sophisticated queries against Wikipedia extracted data, and to link the different data sets on these data. The French chapter of DBpedia was created and deployed by Wimmics and is now an online running platform providing data to several projects such as: QAKIS, Izipedia, zone47, Sépage, HdA Lab., JocondeLab, etc.
• Release Contributions:
  The new release is based on updated Wikipedia dumps and the inclusion of the DBpedia history extraction of the pages.
• URL:
  http://­wiki.­dbpedia.­org/
• Contact:
  Fabien Gandon
• Participants:
  Fabien Gandon, Elmahdi Korfed

6.1.7 Fuzzy labelling argumentation module

• Name:
  Fuzzy labelling algorithm for abstract argumentation
• Keywords:
  Artificial intelligence, Multi-agent, Knowledge representation, Algorithm
• Functional Description:
  The goal of the algorithm is to compute the fuzzy acceptability degree of a set of arguments in an abstract argumentation framework. The acceptability degree is computed from the trustworthiness associated with the sources of the arguments.
• Contact:
  Serena Villata
• Participant:
  Serena Villata

6.1.8 IndeGx

• Keywords:
  Semantic Web, Indexation, Metadata
• Functional Description:
  IndeGx is a framework for the creation of an index of a set of SPARQL endpoints. The framework relies only on available semantic web technologies and the index appears as an RDF database. The index is primarily composed of the self-description available in the endpoint. This original description is verified and expanded by the framework, using SPARQL queries.
• URL:
  https://­github.­com/­Wimmics/­dekalog
• Contact:
  Pierre Maillot
• Participants:
  Fabien Gandon, Catherine Faron, Olivier Corby, Franck Michel

6.1.9 ISSA-pipeline

• Name:
  Processing pipeline of the ISSA project
• Keywords:
  Indexation, Semantic Web, Natural language processing, Knowledge graph, Open Access, Open data, LOD - Linked open data
• Functional Description:
  See the description at https://github.com/issa-project/issa-pipeline/tree/main/pipeline
• URL:
  https://­github.­com/­issa-project/­issa-pipeline
• Contact:
  Franck Michel
• Partners:
  CIRAD, IMT Mines Alès

6.1.10 KartoGraphI

• Keywords:
  Semantic Web, LOD - Linked open data
• Functional Description:
  Website displaying a screenshot of the state of the Linked Data web according to the description retrieved by the IndeGx software
• URL:
  http://­prod-dekalog.­inria.­fr/
• Publication:
  hal-03652865
• Contact:
  Pierre Maillot

6.1.11 Licentia

• Keywords:
  Right, License
• Scientific Description:
  In order to ensure the high quality of the data published on the Web of Data, part of the self-description of the data should consist in the licensing terms which specify the admitted use and re-use of the data by third parties. This issue is relevant both for data publication as underlined in the “Linked Data Cookbook” where it is required to specify an appropriate license for the data, and for the open data publication as expressing the constraints on the reuse of the data would encourage the publication of more open data. The main problem is that data producers and publishers often do not have extensive knowledge about the existing licenses, and the legal terminology used to express the terms of data use and reuse. To address this open issue, we present Licentia, a suite of services to support data producers and publishers in data licensing by means of a user-friendly interface that masks to the user the complexity of the legal reasoning process. In particular, Licentia offers two services: i) the user selects among a pre-defined list those terms of use and reuse (i.e., permissions, prohibitions, and obligations) she would assign to the data and the system returns the set of licenses meeting (some of) the selected requirements together with the machine readable licenses’ specifications, and ii) the user selects a license and she can verify whether a certain action is allowed on the data released under such license. Licentia relies on the dataset of machine-readable licenses (RDF, Turtle syntax, ODRL vocabulary and Creative Commons vocabulary) available at http://datahub.io/dataset/rdflicense. We rely on the deontic logic presented by Governatori et al. to address the problem of verifying the compatibility of the licensing terms in order to find the license compatible with the constraints selected by the user. The need for licensing compatibility checking is high, as shown by other similar services (e.g., Licensius5 or Creative Commons Choose service6 ). However, the advantage of Licentia with respect to these services is twofold: first, in these services compatibility is pre-calculated among a pre-defined and small set of licenses, while in Licentia compatibility is computed at runtime and we consider more than 50 heterogeneous licenses, second, Licentia provides a further service that is not considered by the others, i.e., it allows to select a license from our dataset and verify whether some selected actions are compatible with such license.
• Functional Description:

  Licentia is a web service application with the aim to support users in licensing data. Our goal is to provide a full suite of services to help in the process of choosing the most suitable license depending on the data to be licensed.

  The core technology used in our services is powered by the SPINdle Reasoner and the use of Defeasible Deontic Logic to reason over the licenses and conditions.

  The dataset of RDF licenses we use in Licentia is the RDF licenses dataset where the Creative Commons Vocabulary and Open Digital Rights Language (ODRL) Ontology are used to express the licenses.

• URL:
  http://­licentia.­inria.­fr/
• Contact:
  Serena Villata
• Participant:
  Cristian Cardellino

6.1.12 SPARQL Micro-services

• Name:
  SPARQL micro-services
• Keywords:
  Web API, SPARQL, Microservices, LOD - Linked open data, Data integration
• Functional Description:
  The approach leverages the micro-service architectural principles to define the SPARQL Micro-Service architecture, aimed at querying Web APIs using SPARQL. A SPARQL micro-service is a lightweight SPARQL endpoint that typically provides access to a small, resource-centric graph. Furthermore, this architecture can be used to dynamically assign dereferenceable URIs to Web API resources that do not have URIs beforehand, thus literally “bringing” Web APIs into the Web of Data. The implementation supports a large scope of JSON-based Web APIs, may they be RESTful or not.
• URL:
  https://­github.­com/­frmichel/­sparql-micro-service
• Publications:
  hal-02060966, hal-01722792, hal-01947589, hal-02168164
• Author:
  Franck Michel
• Contact:
  Franck Michel

6.1.13 Metadatamatic

• Keywords:
  RDF, Semantic Web, Metadata
• Functional Description:
  Website offering a form to generate in RDF the description of an RDF base.
• URL:
  https://­wimmics.­github.­io/­voidmatic/
• Contact:
  Pierre Maillot
• Participants:
  Fabien Gandon, Franck Michel, Olivier Corby, Catherine Faron

6.1.14 MGExplorer

• Name:
  Multivariate Graph Explorer
• Keyword:
  Information visualization
• Scientific Description:
  MGExplorer (Multidimensional Graph Explorer) allows users to explore different perspectives to a dataset by modifying the input graph topology, choosing visualization techniques, arranging the visualization space in meaningful ways to the ongoing analysis and retracing their analytical actions. The tool combines multiple visualization techniques and visual querying while representing provenance information as segments connecting views, which each supports selection operations that help define subsets of the current dataset to be explored by a different view. The adopted exploratory process is based on the concept of chained views to support the incremental exploration of large, multidimensional datasets. Our goal is to provide visual representation of provenance information to enable users to retrace their analytical actions and to discover alternative exploratory paths without loosing information on previous analyses.
• Functional Description:
  MGExplorer is an information visualization tool suite that integrates many information visualization techniques aimed at supporting the exploration of multivariate graphs. MGExplorer allows users to choose and combine the information visualization techniques creating a graph that describes the exploratory path of dataset. It is an application based on the D3.JS library, which is executable in a web browser. The use of MGExplorer requires a customization to connect the dashboard to a SPARQL endpoint. MGExplorer has been customized to facilitate the search of scientific articles related to covid.
• Release Contributions:
  Visualization of data extracted from linked data datasets.
• URL:
  http://­covid19.­i3s.­unice.­fr:8080/
• Publications:
  hal-03292172, hal-03404572, hal-03404580
• Contact:
  Marco Alba Winckler
• Participants:
  Aline Menin, Marco Alba Winckler, Olivier Corby
• Partner:
  Universidade Federal do Rio Grande do Sul

6.1.15 Morph-xR2RML

• Name:
  Morph-xR2RML
• Keywords:
  RDF, Semantic Web, LOD - Linked open data, MongoDB, SPARQL
• Functional Description:

  The xR2RML mapping language that enables the description of mappings from relational or non relational databases to RDF. It is an extension of R2RML and RML.

  Morph-xR2RML is an implementation of the xR2RML mapping language, targeted to translate data from the MongoDB database, as well as relational databases (MySQL, PostgreSQL, MonetDB). Two running modes are available: (1) the graph materialization mode creates all possible RDF triples at once, (2) the query rewriting mode translates a SPARQL 1.0 query into a target database query and returns a SPARQL answer. It can run as a SPARQL endpoint or as a stand-alone application.

  Morph-xR2RML was developed by the I3S laboratory as an extension of the Morph-RDB project which is an implementation of R2RML.

• URL:
  https://­github.­com/­frmichel/­morph-xr2rml/
• Publications:
  hal-01207828, hal-01330146, hal-01280951
• Author:
  Franck Michel
• Contact:
  Franck Michel

6.1.16 Muvin

• Name:
  Multimodal Visualization of Networks
• Keywords:
  Data visualization, Music, LOD - Linked open data
• Functional Description:
  Muvin supports the exploration of a two-layer network describing the collaborations between artists and the discography of an artist, defined by the albums and songs released by the artist over time. It implements an incremental approach, allowing the user to dynamically import data from a SPARQL endpoint to the exploration flow. Furthermore, this approach seeks to improve user perception by associating audio to the visualization, in a way that the users can listen to the songs visually represented in their screen.
• URL:
  http://­dataviz.­i3s.­unice.­fr/­muvin/
• Contact:
  Aline Menin

6.1.17 WebAudio tube guitar amp sims CLEAN, DISTO and METAL MACHINEs

• Name:
  Tube guitar amplifier simulators for Web Browser : CLEAN MACHINE, DISTO MACHINE and METAL MACHINE
• Keyword:
  Tube guitar amplifier simulator for web browser
• Scientific Description:
  This software is one of the only ones of its kind to work in a web browser. It uses "white box" simulation techniques combined with perceptual approximation methods to provide a quality of guitar playing in hand comparable to the best existing software in the native world.
• Functional Description:
  Software programs for creating real-time simulations of tube guitar amplifiers that behave most faithfully like real hardware amplifiers, and run in a web browser. In addition, the generated simulations can run within web-based digital audio workstations as plug-ins. The "CLEAN MACHINE" version specializes in the simulation of acoustic guitars when playing electric guitars. The DISTO machine specializes in classic rock tube amp simulations, and METAL MACHINE targets metal amp simulations. These programs are one of the results of the ANR WASABI project.
• Release Contributions:
  First stable version, delivered and integrated into the ampedstudio.com software. Two versions have been delivered: a limited free version and a commercial one.
• News of the Year:
  Best paper at WebAudio Conference 2020.
• Publications:
  hal-01721463, hal-01893681, hal-02337828, hal-03087768, hal-01721483, hal-01735478, hal-02366725, hal-02557901, hal-01589330, hal-03087763, hal-01893660, hal-01589229
• Contact:
  Michel Buffa
• Participant:
  Michel Buffa
• Partner:
  Amp Track Ltd, Finland

7.1.1 Incremental visual exploration of linked data

Participants: Marco Winckler, Aline Menin, Olivier Corby, Catherine Faron, Alain Giboin.

Information visualization techniques are useful to discover patterns and causal relationships within LOD datasets. However, since the discovery process is often exploratory (i.e., users have no predefined goal and do not expect a particular outcome), when users find something interesting, they should be able to (i) retrace their exploratory path to explain how results have been found, and (ii) branch out the exploratory path to compare data observed in different views or found in different datasets. Furthermore, as most of LOD datasets are very specialized, users often need to explore multiple datasets to obtain the knowledge required to support decision-making processes. Thus, the design of visualization tools is confronted with two main challenges: the visualization system should provide multiple views to enable the exploration of different or complementary perspectives to the data; and the system should support the combination of diverse data sources during the exploration process. To our knowledge, the existing tools before our work, are limited to visualizing a single dataset at a time and, often, use static and preprocessed data. Thus, we proposed the concept of follow-up queries to allow users to create queries on demand during the exploratory process while connecting multiple LOD datasets with chained views. Our approach relies on a exploration process supported by the use of predefined SPARQL queries that the user can select on-the-fly to retrieve data from different SPARQL endpoints. It enables users to enrich the ongoing analysis by bringing external and complementary data to the exploration process, while also supporting the visual analysis and comparison of different subsets of data (from the same or different SPARQL endpoints) and, thus, the incremental exploration of the LOD cloud. The resulting publication 36 presents a generic visualization approach to assist the analysis of multiple LOD datasets based on the concepts of chained views and follow-up queries. We demonstrate the feasibility of our approach via four use case scenarios and a formative evaluation where we explore scholarly data described by RDF graphs publicly available through SPARQL endpoints. These scenarios demonstrate how the tool supports (i) composing, running, and visualizing the results of a query; (ii) subsetting the data and exploring it via different visualization techniques; (iii) instantiating a follow-up query to retrieve external data; and (iv) querying a different database and compare datasets. The usability and usefulness of the proposed approach is confirmed by results obtained with a series of semi-structured interviews. The results are encouraging while showing the relevance of the approach to explore big linked data. This work resulted in a visualization tool, called LDViz, publicly accessible at dataviz.i3s.unice.fr/ldviz. The source code is also open and published as 10.5281/zenodo.6511782. A large study concerning the scalability of the tools has demonstrated over 420 public end points 89.

7.1.2 Interaction with extended reality

Participants: Aline Menin, Clément Quere, Florent Robert, Hui-Yin Wu, Marco Winckler.

7.1.3 Use of annotations for interactive support of decision-making processes

Participants: Aline Menin, Michel Buffa, Maroua Tikat, Marco Winckler.

7.1.4 Incremental and multimodal visualization of music artists' discographies and collaborations

Participants: Aline Menin, Michel Buffa, Maroua Tikat, Benjamin Molinet, Guillaume Pellerin, Laurent Pottier, Franck Michel, Marco Winckler.

In this work, we support musicologists on the analysis of music data. Nowadays, there are various and multidimensional music datasets available on the Web describing musical content over aspects such as lyrics, chords, sounds, metadata, etc. In this context, visualization techniques are suitable tools to facilitate the access to the data, while being capable of highlighting relationships between structural elements of music. Particularly, we focus on assisting the exploration and analysis of artists' discographies and collaborations. Artist collaborations in music tend to result in successful songs, which analysis can help to understand the impact of these collaborative projects on artists' careers and their music style. Further to studying aspects of cultural context (e.g., release dates, collaborations, locations), it is essential for musicologists to analyze the timbre and annotations of the audio signal, as well as careful listening to the songs, when studying the acoustic characteristics of songs. Thus, we also explore the potential of the audio dimension to further support musicologists on their analysis, as well as to improve user perception through an auditory data exploration approach. In the resulting publication 71, we present our approach through a case of study of the visualization of data from the WASABI RDF knowledge graph, which gathers metadata describing over two million commercial songs (200K albums and 77K artists – mainly from pop/rock culture). It includes metadata about songs, albums, and artists (e.g., artists, discography, producers, dates, etc.) retrieved from multiple data sources on the Web. The WASABI dataset contains data on commercial music recordings from 1922 to 2022, but it does not provide explicit information about collaborations between artists and how they intersect over time. The proposed visualization approach supports the exploration of a social network of artists and bands derived from their recordings and mapped to the dimensions of association (type of contribution) and time (progression of the artist's career). In particular, our contributions are a Web-based interactive tool to visualize the discography of artists / groups and collaborations between musical artists and groups across time; an auditory exploration approach based on audio thumbnailing to support user perception throughout the visual exploration process; a direct link with external services that support further exploration of songs through MIR analysis. This work resulted in a visualization tool, called Muvin 6.1.16, publicly accessible at dataviz.i3s.unice.fr/muvin/.

7.1.5 Interactive WebAudio applications

Participants: Michel Buffa, Shihong Ren.

7.1.6 KartoGraphI: Drawing a Map of Linked Data

Participants: Pierre Maillot, Olivier Corby, Catherine Faron, Fabien Gandon, Franck Michel.

A large number of semantic Web knowledge bases have been developed and published on the Web. To help the user identify the knowledge bases relevant for a given problem, and estimate their usability, we propose a declarative indexing framework and an associated visualization Web application, KartoGraphI. It provides an overview of important characteristics for more than 400 knowledge bases including, for instance, dataset location, SPARQL compatibility level, shared vocabularies, etc. 95

7.2.1 Autonomous agents in a social and ubiquitous Web

Participants: Andrei Ciortea, Olivier Corby, Fabien Gandon, Franck Michel.

Recent W3C recommendations for the Web of Things (WoT) and the Social Web are turning hypermedia into a homogeneous information fabric that interconnects heterogeneous resources: devices, people, information resources, abstract concepts, etc. The integration of multi-agent systems with such hypermedia environments now provides a means to distribute autonomous behavior in worldwide pervasive systems. A central problem then is to enable autonomous agents to discover heterogeneous resources in world wide and dynamic hypermedia environments. This is a problem in particular in WoT environments that rely on open standards and evolve rapidly—thus requiring agents to adapt their behavior at runtime in pursuit of their design objectives. To this end, we developed a hypermedia search engine for the WoT that allows autonomous agents to perform approximate search queries in order to retrieve relevant resources in their environment in (weak) real time. The search engine crawls dynamic WoT environments to discover and index device metadata described with the W3C WoT Thing Description, and exposes a SPARQL endpoint that agents can use for approximate search. To demonstrate the feasibility of our approach, we implemented a prototype application for the maintenance of industrial robots in worldwide manufacturing systems. The prototype demonstrates that our semantic hypermedia search engine enhances the flexibility and agility of autonomous agents in a social and ubiquitous Web  100.

7.2.2 Abusive language detection

Participants: Elena Cabrio, Serena Villata, Anais Ollagnier.

In addition, we carried out a data collection in the context of the UCA IDEX OTESIA project “Artificial Intelligence to prevent cyberviolence, cyberbullying and hate speech online.” 1 to creat a dataset of aggressive chats in French collected through a role-playing game in high-schools. The collected conversations have been annotated with the participant roles (victim, bully, and bystanders), the presence of hate speech (content that mocks, insults, or discriminates against a person or group based on specific characteristics such as colour, ethnicity, gender, sexual orientation, nationality, religion, or other characteristics) and whether utterances use different humour figurative devices such as sarcasm or irony. Moreover, we have also introduced a new annotation layer referring to the different types of verbal abuse present in the message, defined as a type of psychological/mental abuse that involves the use of written language relying on derogatory terms, the delivery of statements intended to demean, humiliate, blame or threaten the victim with the aim of decreasing its self-confidence and making it feel powerless. The identification of the different types of verbal abuse will allow to investigate (and learn, from a computational perspective) strategies used by cyberhate perpetrators to cause emotional harm, and to reach insights about how victims respond to bullying/victimisation. In particular, this activity resulted in a new dataset called CyberAgressionAdo-V1 75, containing aggressive multiparty chats in French collected through a role-playing game in high-schools, and annotated at these different layers. In this dataset, we analysed the different types of aggression and verbal abuse depending on the targeted victims (individuals or communities) emerging from the collected data.

7.2.3 Fallacious Argument Classification in Political Debates

Participants: Pierpaolo Goffredo, Shohreh Haddadan, Vorakit Vorakitphan, Elena Cabrio, Serena Villata.

Fallacies play a prominent role in argumentation since antiquity due to their contribution to argumentation in critical thinking education. Their role is even more crucial nowadays as contemporary argumentation technologies face challenging tasks as misleading and manipulative information detection in news articles and political discourse, and counter-narrative generation. Despite some work in this direction, the issue of classifying arguments as being fallacious largely remains a challenging and an unsolved task. Our contribution is twofold: first, we present a novel annotated resource of 31 political debates from the U.S. Presidential Campaigns, where we annotated six main categories of fallacious arguments (i.e., ad hominem, appeal to authority, appeal to emotion, false cause, slogan, slippery slope) leading to 1628 annotated fallacious arguments; second, we tackle this novel task of fallacious argument classification and we define a neural architecture based on transformers outperforming state-of-the-art results and standard baselines. Our results show the important role played by argument components and relations in this task 59, 80.

A new version of the DISPUTool demo is publicly accessible at 3ia-demos.inria.fr/disputool/.

7.3.1 Semantic Web for Biodiversity

Participants: Franck Michel, Catherine Faron.

This activity addresses the challenges of exploiting knowledge representation and semantic Web technologies to enable data sharing and integration in the biodiversity area. The collaboration with the ”Muséum National d'Histoire Naturelle” of Paris (MNHN) goes on along several axes.

Since 2019 the MNHN has been using our SPARQL Micro-Services architecture and framework to help biologists in editing taxonomic information by confronting multiple, heterogeneous data sources. This collaboration is going on and the MNHN now heavily relies on those services for daily activities. Furthermore, at the occasion of multiple meetings thoughout the year, we have been accompanying the MNHN in the modelling a a biodiversity thesaurus, and the addition of life traits to this thesaurus, such that this will be compatible with and usable by multiple groups within the museum.

7.3.2 The WASABI Song Corpus with Lyrics Annotations.

Participants: Elena Cabrio, Michael Fell, Michel Buffa.

The WASABI Song Corpus is a large corpus of songs enriched with metadata extracted from music databases on the Web, and resulting from the processing of song lyrics and from audio analysis. Given that lyrics encode an important part of the semantics of a song, we have focused on the design and application of methods to extract relevant information from the lyrics, such as their structure segmentation, their topics, the explicitness of the lyrics content, the salient passages of a song and the emotions conveyed. So far, the corpus contains 1.73M songs with lyrics (1.41M unique lyrics) annotated at different levels with the output of the above mentioned methods. Such corpus labels and the provided methods can be exploited by music search engines and music professionals (e.g. journalists, radio presenters) to better handle large collections of lyrics, allowing an intelligent browsing, categorization and recommendation of songs 31.

7.3.3 Evolutionary agent-based evaluation of the sustainability of different knowledge sharing strategies in open multi-agent systems

Participants: Stefan Sarkadi, Fabien Gandon.

7.3.4 Agent-Based Modeling of Economical Systems

Participants: Andrea Tettamanzi.

A central question in economics is how a society accepts money, defined as a commodity used as a medium of exchange, as an unplanned outcome of the individual interactions. Together with economists of the SKEMA Business School, we investigated the reasons for the failure of previous work to have boundedly rational agents learn speculative strategies that were theoretically predicted. We started with an agent-based model proposed in the literature, where the intelligence of the agents is guided by a learning classifier system that is shown to be capable of learning trade strategies (core strategies) that involve short sequences of trades. We tested several modifications of the original model and we came up with a set of assumptions that enable the spontaneous emergence of speculative strategies, which explain the emergence of money even when the agents have bounded rationality 54.

7.3.5 LOV-ES: Guiding the Ontology Selection to Structure Textual Data using Topic Modeling

Participants: Damien Graux, Anaïs Ollagnier.

7.3.6 W3C Data activity

Participants: Rémi Ceres, Pierre-Antoine Champin, Fabien Gandon, Franck Michel, Olivier Corby.

Semantic Web technologies are based on a set of standards developed by the World Wide Web consortium (W3C). Participation in these standardization groups gives to researcher the opportunity to promote their results towards a broad audience, and to keep in touch with an international community of experts. Wimmics has a long history of being involved in W3C groups.

As W3C fellow, Pierre-Antoine Champin also works within the W3C team to support Semantic Web related working groups and promote the emergence of new ones, to ensure the necessary evolutions of these technologies. Two new groups were created in 2022, where Wimmics members are largely involved. RDF Canonicalization and Hash aims at providing a way to hash RDF data independently of the way they are represented. RDF-star is chartered to publish the new version of RDF and SPARQL, extending them with the ability to make statements about statements.

Finally, work has started towards the creation of a working group to standardize the Solid protocol. The Solid project was started by Tim Berners-Lee, inventor of the Web, and builds on Semantic Web standards to promote the (re-)decentralization of the Web.

7.4.1 Uncertainty Evaluation for Linked Data

Participants: Ahmed Elamine Djebri, Fabien Gandon, Andrea Tettamanzi.

In collaboration with colleagues of IRIT, we investigated how metadata about the uncertainty of knowledge contained in a knowledge base can be expressed parsimoniously and used for reasoning. We proposed an approach based on possibility theory, whereby a classical knowledge base plus metadata about the degree of validity and completeness of some of its portions are used to represent a possibilistic belief base. We show how reasoning on such belief base can be carried out by using a classical reasoner 53.

7.4.2 A Semantic Model for Meteorological Knowledge Graphs

Participants: Nadia Yacoubi Ayadi, Catherine Faron, Franck Michel, Olivier Corby, Fabien Gandon.

Based on this semantic model, we built the WeKG-MF knowledge graph considering the open weather observations published by Météo-France. The SPARQL WeKG-MF2 endpoint allows users to retrieve weather observations recorded every 3 hours by different sensors hosted by weather stations and related to different parameters (air temperature, humidity, wind speed, precipitation, atmospheric pressure, etc.). In order to enable an interactive exploration of the WeKG-MF graph, we released a Web application 3 that enables lay users to visualize weather observational data at different levels of spatio-temporal granularity, and hence, it offers multi-level 'tours' based on high-level aggregated views together with on-demand fine-grained data, and this through a unified multi-visualisations interface. This work has been published and presented in 82.

In addition we worked on the alignment of two complementary knowledge graphs useful in the agricultural domain: the crop usage thesaurus (CUT) and the French national taxonomic register TAXREF for fauna, flora and fungi. Several alignment methods specific to this use case were implemented. The results show that in this domain it will be necessary to clean up the automatically generated alignments 72.

7.4.3 Wheat-KG: a Knowledge graph for wheat genomics studies

Participants: Nadia Yacoubi Ayadi, Catherine Faron, Franck Michel, Olivier Corby, Fabien Gandon.

7.4.4 Corese Semantic Web Factory

Participants: Rémi Ceres, Olivier Corby.

In the context of the National research program in artificial intelligence (PNRIA) 4 and in collaboration with the Mnemotix cooperative 5, we continued to work on the industrialization of Corese.

To improve the distribution of Corese, we pushed the project to Maven Central 6 and created a Docker image for Corese-Server 7. We also completed the documentation of Corese 8. We updated the Jetty version in Corese-Server.

In addition to the Corese library, Corese-GUI, and Corese-Server, we created two new interfaces: Corese-Python and Corese-CLI. Corese-CLI allows users to use Corese through the command line, including converting an RDF file between different serialization formats, running a SPARQL query, checking OWL profiles, and running an LDSCRIPT file. Corese-Python allows users to use the Corese library through Python code.

We implemented persistence in Corese by improving the DataManager API, which allows the Corese SPARQL engine to connect with external storage systems. We implemented new data managers for the RDF4J model, Jena TDB1, InteGrall Storage system, Corese Graph, JSON, and XML. This allows users to connect the SPARQL engine of Corese with external storage systems and store and retrieve data in various formats.

Corese was extended with RDF-star and SPARQL-star 9 that enable users to annotate RDF triples with RDF triples.

Corese federated query engine has been extended to handle properly join in basic graph patterns. Heuristics have been designed in order to group triples in appropriate connected graph patterns with respect to remote endpoints. The federated query engine is also able to process source indentification in a Semantic Web graph index such as the one designed by the team in the Dekalog ANR project.

Corese core functionnalities such as SPARQL, SPARQL Function (LDScript), SPARQL Transformation (STTL), SPARQL Rule, approximate search, etc. have been ported on the data manager generic broker to external storage. Hence, Corese functionnalities are available with external storage such as Jena TDB1 and RDF4J for which data managers have been implemented.

Web sites: Corese Web site, Corese github URL.

7.4.5 SHACL Extension

Participants: Olivier Corby, Iliana Petrova, Fabien Gandon, Catherine Faron.

In the context of a collaboration with Stanford University, we worked on extensions of W3C SHACL Shape Constraint Language 10.

We conducted a study on large, active, and recognized ontology projects (ex. Gene Ontology, Human Phenotype Ontology, Mondo Disease Ontology, Ontology for Biomedical Investigations, OBO Foundry, etc.) as well as an analysis of several existing tools, methodologies and guidelines for ontological engineering.

As a result we identified several sets of ontology validation constraints that fall into six big clusters: i) formalization/modeling checks; ii) terminological/writing checks; iii) documentation/ editorial practices, terminology-level checks; iv) coherence between terminology and formalization; v) metamodel-based checks; vi) integration/interoperability/data checking. These can be further refined depending on whether they are specific to RDFS/OWL meta-model, domain/ontology specific, or Linked Data specific. This precise categorization of the ontology validation constraints allowed us to analyse the needs and impact of the extension we are targeting in terms of semantic expressiveness, computational complexity of the validation, and current syntax of the SHACL language.

We then concentrated on the formalization of the semantic extensions and their validation methods and came up with a proposal of a corresponding syntactic extensions of SHACL.

The formal specification of the identified extensions enabled us to proceed with the implementation of a prototype plugin for Protégé (Stanford’s widely used ontology editor) based on the Corese engine and which extends the SHACL standard with these newly proposed capabilities.

7.4.6 Learning object recommendation based on learning objectives

Participants: Molka Dhouib, Catherine Faron, Oscar Rodríguez Rocha.

7.4.7 Identifying argumentative structures in clinical trials

Participants: Elena Cabrio, Serena Villata, Santiago Marro, Benjamin Molinet.

In this context, we also released a new version of the ACTA demo. ACTA 2.011 is an automated tool which relies on Argument Mining methods to analyse the abstracts of clinical trials to extract argument components and relations to support evidence-based clinical decision making. ACTA 2.0 allows also for the identification of PICO (Patient, Intervention, Comparison, Outcome) elements, and the analysis of the effects of an intervention on the outcomes of the study. A REST API is also provided to exploit the tool’s functionalities 74.

7.4.8 Qualitative evaluation of arguments in persuasive essais

Participants: Elena Cabrio, Serena Villata, Santiago Marro.

Our contribution is twofold: first, we present a novel resource of 402 student persuasive essays, where three main quality dimensions (i.e., cogency, rhetoric, and reasonableness) have been annotated, leading to 1908 arguments tagged with quality facets 68; second, we address this novel task of argumentation quality assessment proposing a novel neural architecture based on graph embeddings, that combines both the textual features of the natural language arguments and the overall argument graph, i.e., considering also the support and attack relations holding among the arguments. Results on the persuasive essays dataset outperform state-of-the-art and standard baselines' performance 69.

7.4.9 Identification of the information captured by Knowledge Graph Embeddings

Participants: Antonia Ettorre, Anna Bobasheva, Catherine Faron, Franck Michel.

The recent growth in the utilization of Knowledge Graphs has been powered by the expanding landscape of Graph Embedding techniques, which facilitates the manipulation of the vast and sparse information described by such Knowledge Graphs. Although the effectiveness of Knowledge Graph Embeddings has been proved on many occasions and for many contexts, the interpretability of such vector representations remains an open issue. To tackle it, we provided a systematic approach to decode and make sense of the knowledge captured by Graph Embeddings. We proposed a tool called Stunning Doodle to visualize jointly a graph and the embeddings of the nodes thereof 56, 55, and verify whether Graph Embeddings are able to encode certain properties of the graph elements they represent. We also showed that using purely graph-based techniques such as the link prediction is able to obtain performances in terms of pedagogical resources recommendation, that are as effective as common knowledge tracing approaches 93.

7.4.10 RDF Mining

Participants: Ali Ballout, Catherine Faron, Rémi Felin, Andrea Tettamanzi.

An optimization on assessment of OWL SubClassOf axioms against an RDF knowledge graph 57 has been proposed to respond to a high computational cost, especially in terms of computation time (CPU).

On the other hand, our evolutionary approach critically relies on (candidate) axiom scoring. In practice, testing an axiom boils down to computing an acceptability score, measuring the extent to which the axiom is compatible with the recorded facts. Methods to approximate the semantics of given types of axioms have been thoroughly investigated in the last decade, but a promising alternative to their direct computation is to train a surrogate model on a sample of candidate axioms for which the score is already available, to learn to predict the score of a novel, unseen candidate axiom. This is the main objective Ali Ballout's thesis, whose first results were a method to predict the score of atomic OWL axioms based on axiom similarity 43. Insights on why axiom similarity works well for this type of task has been offered by an investigation on a sort of toy problem related to axiom scoring, namely using machine learning methods to guess the truth value of propositional formulas based on a measure of semantic similarity 42.

7.4.11 Capturing Geospatial Knowledge from Real-Estate Advertisements

Participants: Lucie Cadorel, Andrea Tettamanzi.

In the framework of a CIFRE thesis with Kinaxia, we have proposed a workflow to extract geographic and spatial entities based on a BiLSTM-CRF architecture with a concatenation of several text representations and to extract spatial relations, to build a structured Geospatial knowledge base. This pipeline has been applied it to the case of French housing advertisements, which generally provide information about a property's location and neighbourhood. Our results show that the workflow tackles French language and the variability and irregularity of housing advertisements, generalizes Geoparsing to all geographic and spatial terms, and successfully retrieves most of the relationships between entities from the text 50, 51, 52.

7.4.12 ISSA: semantic indexing of scientific articles and advanced services

Participants: Franck Michel, Anna Bobasheva, Aline Menin, Marco Winckler.

Faced with the ever-increasing number of scientific publications, in October 2020 we started ISSA project with the following goals: (1) provide a generic, reusable and extensible pipeline for the analysis and processing of articles of an open scientific archive, (2) translate the result into a semantic index stored and represented as an RDF knowledge graph; (3) develop innovative search and visualization services that leverage this index to allow researchers, decision makers or scientific information professionals to explore thematic association rules, networks of co-publications, articles with co-occurring topics, etc.

The project ended in December 2022, and we could deliver a pipeline for the semantic indexing of the scientific publications from Agritrop, Cirad's scientific archive of 110,000+ resources among which 12,000 open access articles. Indexing is performed on two levels: thematic and geographic descriptors characterizing the article as a whole, and named entities extracted from the articles' text. Descriptors and named entities are linked with reference knowlegde bases such as Wikidata, DBpedia, Geonames, and Agrovoc. We have also prototyped visualization services that render the entities and descriptors extracted during the indexing process and allow exploring the graph of authors, institutions, research topics, etc.

The pipeline as well as visuzalization tools are DOI-identified and available under an open license on public repositories. The outcome of this pipeline is a knowledge graph that we also made public as a downloadable dump (DOI: 10.5281/zenodo.6505847) and through a public SPARQL endpoint. We published the results of the project in two international conferences: 79 and 73.

7.4.13 IndeGx: A Model and a Framework for Indexing Linked Datasets and their Knowledge Graphs with SPARQL-based Test Suits

Participants: Pierre Maillot, Olivier Corby, Catherine Faron, Fabien Gandon, Franck Michel.

The joint exploitation of RDF datasets relies on the knowledge of their content, of their endpoints, and of what they have in common. Yet, not every dataset contains a self-description, and not every endpoint can handle the complex queries used to generate such a description.

As part of the ANR DeKaloG, we proposed a standard-based approach to generate the description of a dataset. The description generated as well as the process of its computation are expressed using standard vocabularies and languages. We have implemented our approach into a framework, called IndeGx, to automatically generate the description of datasets and endpoints and collect them in an index. We have experimented IndeGx on a set of 339 active knowledge bases.

Several visualisations were also generated from IndeGx and are available online: IndeGx Web Site.

7.4.14 Metadatamatic: A tool for the description of RDF knowledge bases

Participants: Pierre Maillot, Olivier Corby, Catherine Faron, Fabien Gandon, Franck Michel.

During the experimentations done as part of the development of IndeGx, we observed that less than 10% of accessible RDF datasets offer a description of their provenance. We theorize that this is partly due to the difficulty for data providers to learn how to create such descriptions. Some initiatives such as the COST KG working group, or a European Commission action have proposed guides consisting of lists of mandatory and recommended classes and properties to use.

We propose Metadatamatic, an online tool based on the before-mentioned initiatives to generate a KB description. Metadatamatic aims to bypass this learning problem and help further the description of a KB. Metadatamatic generates a description using well-established vocabulary from a simple Web form. It also offers to extract some parts of the description, such as the list of vocabularies used in the data, automatically from the content of the KB. We hope that this tool will lead to an improvment of the usability of Linked Data in general.

Metadatamatic is available online: Metadatamatic

7.4.15 Evaluation of Explanations for Relational Graph Convolutional Network Link Prediction on Knowledge Graph

Participants: Nicholas Halliwell, Fabien Gandon, Freddy Leccue, Serena Villata.

This collaboration is considering the need for empirical evaluation of explanation quality  65 and the fundamental problem of evaluating the quality of explanations generated by some of the latest AI systems 63.

We first proposed a rule-based and ontology based generator for a simplified benchmark focusing on providing non-ambiguous explanations for knowledge graph link prediction using Relational Graph Convolutional Networks (RGCN)  94, 84.

We then proposed an extended method to support user-scored evaluation of non-unique explanations for link prediction by RGCNs integrating the constraint of having multiple possible explanations for a prediction of different value for a user.

We also evaluated the impact of injecting ground truth explanations on relational graph convolutional networks and their explanation methods for link Prediction on knowledge Graphs  64.

This work on evaluating and improving explanation quality of graph neural network link prediction on knowledge graph was finally defended in the PhD of Nicholas Halliwell.91

7.4.16 Extending electronic medical records vector models with knowledge graphs to improve hospitalization prediction

Participants: Raphael Gazzoti, Catherine Faron, Fabien Gandon.

We proposed to address the problem of hospitalization prediction for patients with an approach that enriches vector representation of EMRs with information extracted from different knowledge graphs before learning and predicting. In addition, we performed an automatic selection of features resulting from knowledge graphs to distinguish noisy ones from those that can benefit the decision making. We evaluted our results with experiments on the PRIMEGE PACA database that contains more than 600,000 consultations carried out by 17 general practitioners (GPs). A statistical evaluation shows that our proposed approach improves hospitalization prediction. More precisely, injecting features extracted from cross-domain knowledge graphs in the vector representation of EMRs given as input to the prediction algorithm significantly increases the F1 score of the prediction. By injecting knowledge from recognized reference sources into the representation of EMRs, it is possible to significantly improve the prediction of medical events.  32

Curiosity Collaborative Project

Participants: Catherine Faron, Oscar Rodríguez Rocha, Molka Dhouib.

This collaborative project with the TeachOnMars company started in October 2019. TeachOnMars is developping a platform for mobile learning. The aim of this project is to develop an approach for automatically indexing and semantically annotating heterogeneous pedagogical resources from different sources to build up a knowledge graph enabling to compute training paths, that correspond to the learner's needs and learning objectives.

CIFRE Contract with Doriane

Participants: Andrea Tettamanzi, Rony Dupuy Charles.

This collaborative contract for the supervision of a CIFRE doctoral scholarship, relevant to the PhD of Rony Duput Charles, is part of Doriane's Fluidity Project (Generalized Experiment Management), the feasibility phase of which has been approved by the Terralia cluster and financed by the Région Sud-Provence Alpes Côte d'Azur and BPI France in March 2019. The objective of the thesis is to develop machine learning methods for the field of agro-vegetation-environment. To do so, this research work will take into account and address the specificities of the problem, i.e. data with mainly numerical characteristics, scalability of the study object, small data, availability of codified background knowledge, need to take into account the economic stakes of decisions, etc. To enable the exploitation of ontological resources, the combination of symbolic and connective approaches will be studied, among others. Such resources can be used, on the one hand, to enrich the available datasets and, on the other hand, to restrict the search space of predictive models and better target learning methods.

The PhD student will develop original methods for the integration of background knowledge in the process of building predictive models and for the explicit consideration of uncertainty in the field of agro-plant environment.

CIFRE Contract with Kinaxia

Participants: Andrea Tettamanzi, Lucie Cadorel.

This thesis project is part of a collaboration with Kinaxia that began in 2017 with the Incertimmo project. The main theme of this project was the consideration of uncertainty for a spatial modeling of real estate values in the city. It involved the computer scientists of the Laboratory and the geographers of the ESPACE Laboratory. It allowed the development of an innovative methodological protocol to create a mapping of real estate values in the city, integrating fine-grained spatiality (the street section), a rigorous treatment of the uncertainty of knowledge, and the fusion of multi-source (with varying degrees of reliability) and multi-scale (parcel, street, neighbourhood) data.

This protocol was applied to the Nice-Côte d'Azur metropolitan area case study, serving as a test bed for application to other metropolitan areas.

The objective of this thesis, which will be carried out by Lucie Cadorel with the advice of Andrea Tettamanzi, is, on the one hand, to study and adapt the application of methods for extracting knowledge from texts (or text mining) to the specific case of real estate ads written in French, before extending them to other languages, and, on the other hand, to develop a methodological framework that makes it possible to detect, explicitly qualify, quantify and, if possible, reduce the uncertainty of the extracted information, in order to make it possible to use it in a processing chain that is finalized for recommendation or decision making, while guaranteeing the reliability of the results.

Plan de Relance with Startin'Blox

Participants: Pierre-Antoine Champin, Fabien Gandon, Maxime Lecoq.

9.1.1 Associate Teams in the framework of an Inria International Lab or in the framework of an Inria International Program

9.2.1 Visits of international scientists

AI4EU

• Title:
  A European AI On Demand Platform and Ecosystem
• Duration:
  2019 - 2022
• Coordinator:
  THALES
• Partners:
  • AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS (Spain)
  • ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA (Italy)
  • ARISTOTELIO PANEPISTIMIO THESSALONIKIS (Greece)
  • ASSOCIACAO DO INSTITUTO SUPERIOR TECNICO PARA A INVESTIGACAO E DESENVOLVIMENTO (Portugal)
  • BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION (Spain)
  • BLUMORPHO SAS (France)
  • BUDAPESTI MUSZAKI ES GAZDASAGTUDOMANYI EGYETEM (Hungary)
  • BUREAU DE RECHERCHES GEOLOGIQUES ET MINIERES (France)
  • CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS (France)
  • CINECA CONSORZIO INTERUNIVERSITARIO (Italy)
  • COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES (France)
  • CONSIGLIO NAZIONALE DELLE RICERCHE (Italy)
  • DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH (Germany)
  • DEUTSCHES ZENTRUM FUR LUFT - UND RAUMFAHRT EV (Germany)
  • EOTVOS LORAND TUDOMANYEGYETEM (Hungary)
  • ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINON (Grecce)
  • ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS (Greece)
  • EUROPEAN ORGANISATION FOR SECURITY (Belgium)
  • FONDATION DE L'INSTITUT DE RECHERCHE IDIAP (Switzerland)
  • FONDAZIONE BRUNO KESSLER (Italy)
  • FORUM VIRIUM HELSINKI OY (Finland)
  • FRANCE DIGITALE (France)
  • FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. (Germany)
  • FUNDACION CARTIF (Spain)
  • FUNDINGBOX ACCELERATOR SP ZOO (Poland)
  • FUNDINGBOX RESEARCH APS (Denmark)
  • GOODAI RESEARCH SRO (Czech Republic)
  • Hochschule für Technik und Wirtschaft Berlin (Germany)
  • IDRYMA TECHNOLOGIAS KAI EREVNAS (Greece)
  • IMT TRANSFERT (France)
  • INSTITUT JOZEF STEFAN (Slovenia)
  • INSTITUT POLYTECHNIQUE DE GRENOBLE (France)
  • INTERNATIONAL DATA SPACES EV (Germany)
  • KARLSRUHER INSTITUT FUER TECHNOLOGIE (Germany)
  • KNOW-CENTER GMBH RESEARCH CENTER FOR DATA-DRIVEN BUSINESS & BIG DATA ANALYTICS (Austria)
  • NATIONAL CENTER FOR SCIENTIFIC RESEARCH "DEMOKRITOS" (Greece)
  • NATIONAL UNIVERSITY OF IRELAND GALWAY (Ireland)
  • NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU (Norway)
  • OFFICE NATIONAL D'ETUDES ET DE RECHERCHES AEROSPATIALES (France)
  • ORANGE SA (France)
  • OREBRO UNIVERSITY (Sweden)
  • QWANT (France)
  • TECHNICKA UNIVERZITA V KOSICIACH (Slovakia)
  • TECHNISCHE UNIVERSITAET MUENCHEN (Germany)
  • TECHNISCHE UNIVERSITAET WIEN (Austria)
  • TECHNISCHE UNIVERSITAT BERLIN (Germany)
  • THALES (France)
  • THALES ALENIA SPACE FRANCE SAS (France)
  • THALES SIX GTS FRANCE SAS (France)
  • THOMSON LICENSING (France)
  • TILDE SIA (Latvia)
  • TWENTY COMMUNICATIONS SRO (Slovakia)
  • UNIVERSIDAD POLITECNICA DE MADRID (Spain)
  • UNIVERSIDADE DE COIMBRA (Portugal)
  • UNIVERSITA CA' FOSCARI VENEZIA (Italy)
  • UNIVERSITA DEGLI STUDI DI SIENA (Italy)
  • UNIVERSITAT POLITECNICA DE CATALUNYA (Spain)
  • UNIVERSITE DE LORRAINE (France)
  • UNIVERSITE GRENOBLE ALPES (France)
  • UNIVERSITY COLLEGE CORK - NATIONAL UNIVERSITY OF IRELAND, CORK (Ireland)
  • UNIVERSITY OF LEEDS (UK)
  • VRIJE UNIVERSITEIT BRUSSEL (Belgium)
  • WAVESTONE (France)
  • WAVESTONE ADVISORS (France)
  • WAVESTONE LUXEMBOURG SA (Luxembourg)
• Inria contact:
  Olivier Corby (for Wimmics)
• Summary:

  In January 2019, the AI4EU consortium was established to build the first European Artificial Intelligence On-Demand Platform and Ecosystem with the support of the European Commission under the H2020 programme. The activities of the AI4EU project include:

  • The creation and support of a large European ecosystem spanning the 28 countries to facilitate collaboration between all Europeans actors in AI (scientists, entrepreneurs, SMEs, Industries, funding organizations, citizens…);
  • The design of a European AI on-Demand Platform to support this ecosystem and share AI resources produced in European projects, including high-level services, expertise in AI research and innovation, AI components and datasets, high-powered computing resources and access to seed funding for innovative projects using the platform;
  • The implementation of industry-led pilots through the AI4EU platform, which demonstrates the capabilities of the platform to enable real applications and foster innovation;
  • Research activities in five key interconnected AI scientific areas (Explainable AI, Physical AI, Verifiable AI, Collaborative AI, Integrative AI), which arise from the application of AI in real-world scenarios;
  • The funding of SMEs and start-ups benefitting from AI resources available on the platform (cascade funding plan of €3m) to solve AI challenges and promote new solutions with AI;
  • The creation of a European Ethical Observatory to ensure that European AI projects adhere to high ethical, legal, and socio-economical standards; click here to know more
  • The production of a comprehensive Strategic Research Innovation Agenda for Europe
  • The establishment of an AI4EU Foundation that will ensure a handover of the platform in a sustainable structure that supports the European AI community in the long run.

  In the context of the AI4EU European project, we have translated the Thales Knowledge Graph into an RDF graph and have defined a set of SPARQL queries to query and navigate the graph. This has been integrated into the AI4EU endpoint prototype.

  Web site: AI4EU Project

AI4Media

• Title:
  AI4Media
• Duration:
  2020 - 2024
• Coordinator:
  The Centre for Research and Technology Hellas (CERTH)
• Partners:
  see consortium
• Inria contact:
  through 3IA
• Summary:
  AI4Media is a 4-year-long project. Funded under the European Union’s Horizon 2020 research and innovation programme, the project aspires to become a Centre of Excellence engaging a wide network of researchers across Europe and beyond, focusing on delivering the next generation of core AI advances and training to serve the Media sector, while ensuring that the European values of ethical and trustworthy AI are embedded in future AI deployments. AI4Media is composed of 30 leading partners in the areas of AI and media (9 Universities, 9 Research Centres, 12 industrial organisations) and a large pool of associate members, that will establish the networking infrastructure to bring together the currently fragmented European AI landscape in the field of media, and foster deeper and long-running interactions between academia and industry.

9.3.1 Other european programs/initiatives

Ministry of Culture: MonaLIA 3.0

Participants: Anna Bobasheva, Fabien Gandon, Frédéric Precioso.

This work combines semantic reasoning and machine learning to create tools that allow curators of the visual art collections to identify and correct the annotations of the artwork as well as to improve the relevance of the content-based search results in these collections. The research is based on the Joconde database maintained by French Ministry of Culture that contains illustrated artwork records from main French public and private museums representing archeological objects, decorative arts, fine arts, historical and scientific documents, etc. The Joconde database includes semantic metadata that describes properties of the artworks and their content. The developed methods create a data pipeline that processes metadata, trains a Convolutional Neural Network image classification model, makes prediction for the entire collection and expands the metadata to be the base for the SPARQL search queries. We developed a set of such queries to identify noise and silence in the human annotations and to search image content with results ranked according to the relevance of the objects quantified by the prediction score provided by the deep learning model. We also developed methods to discover new contextual relationships between the concepts in the metadata by analyzing the contrast between the concepts similarities in the Joconde's semantic model and other vocabularies and we tried to improve the model prediction scores based on the semantic relations. Our results show that cross-fertilization between symbolic AI and machine learning can indeed provide the tools to address the challenges of the museum curators work describing the artwork pieces and searching for the relevant images  28.

ANR WASABI

Participants: Michel Buffa, Elena Cabrio, Catherine Faron, Alain Giboin.

The ANR project WASABI started in January 2017 with IRCAM, Deezer, Radio France and the SME Parisson, consists in building a 2 million songs knowledge base of commercial popular music (rock, pop, etc.). Its originality is the joint use of audio-based music information extraction algorithms, song lyrics analysis algorithms (natural language processing), and the use of the Semantic Web. Web Audio technologies will then explore these bases of musical knowledge by providing innovative applications for composers, musicologists, music schools, and sound engineers, music broadcasters and journalists. This project is in its mid-execution and gave birth to many publications in international conferences as well as some mainstream coverage (i.e for “la fête de la Science”). Participation in the ANR OpenMiage project aimed at offering online Bachelor and Master degrees.

The project also led to industrial transfer of some of the results (partnership with AmpedStudio.com/Amp Track company) for the integration of our software into theirs), SATT PACA.

Web site: Wasabi HomePage

ANR D2KAB

Participants: Olivier Corby, Catherine Faron, Fabien Gandon, Franck Michel, Nadia Yacoubi Ayadi.

Partners: LIRMM, INRAE, IRD, ACTA

D2KAB is an ANR project which started in June 2019, led by the LIRMM laboratory (UMR 5506). Its general objective is to create a framework to turn agronomy and biodiversity data into knowledge –semantically described, interoperable, actionable, open– and investigate scientific methods and tools to exploit this knowledge for applications in science and agriculture. Within this project the Wimmics team is contributing to the lifting of heterogeneous dataset related to agronomy coming from the different partners of the project and is responsible to develop a unique entry point with semantic querying and navigation services providing a unified view on the lifted data.

Web site: D2KAB Project

ANR DeKaloG

Participants: Olivier Corby, Catherine Faron, Fabien Gandon, Pierre Maillot, Franck Michel.

Partners: Université Nantes, INSA Lyon, INRIA Sophia Antipolis-Méditerranée

DeKaloG (Decentralized Knowledge Graphs) aims to: (1) propose a model to provide fair access policies to KGs without quota while ensuring complete answers to any query. Such property is crucial for enabling web automation, i.e. to allow agents or bots to interact with KGs. Preliminary results on web preemption open such perspective, but scalability issues remain; (2) propose models for capturing different levels of transparency, a method to query them efficiently, and especially, techniques to enable web automation of transparency. (3) propose a sustainable index for achieving the findability principle.

DeKaloG Web site

ANR ATTENTION

Participants: Serena Villata, Elena Cabrio, Xiaoou Wang, Pierpaolo Goffredo.

The ANR project ATTENTION started in January 2022 with Université Paris 1 Sorbonne, CNRS (Centre Maurice Halbwachs), EURECOM, Buster.Ai. The coordinator of the project is CNRS (Laboratoire I3S) in the person of Serena Villata.

ANR CROQUIS

Participants: Andrea Tettamanzi.

The ANR project CROQUIS started in March 2022 with CRIL (Lens) and HSM (Montpellier). The coordinator of the project is Salem Benferhat (CRIL). The local coordinator for Laboratoire I3S is Andrea Tettamanzi. The local unit involves two other members of I3S which are not part of WIMMICS, namely Célia da Costa Pereira and Claude Pasquier.

Web site: CROQUIS Project

DBpedia.fr

Participants: Fabien Gandon, Franck Michel, Célian Ringwald.

The DBpedia.fr project ensures the creation and maintenance of a French chapter of the DBpedia knowledge base. This project was the first project of the Semanticpedia convention signed by the Ministry of Culture, the Wikimedia foundation and Inria in 2012. Wimmics continued to maintain the Frecnh DBpedia chapter since.

A new project proposal was selected in 2021 between Inria and the Ministry of Culture to support evolutions and long-term sustaining of this project. The roadmap was spread over one year and planned to cover the following work packages:

Work package 1: Sustaining and increasing the visibility of the French-speaking chapter DBpedia; Automation of administration and maintenance tasks; Automation of the means of dissemination and adoption; Deployment in production of DBpedia Live and DBpédia Historic.

Work package 2: Evaluation of the cross-fertilisation of DBpedia with other Wikimedia Foundation projects (in particular Wikidata)

Work package 3: Development of new research areas including the application of NLP techniques to the text of Wikipedia articles and DBpedia Spotlight in French.

Convention between Inria and the Ministry of Culture

Participant: Fabien Gandon.

We supervise the research convention with the Ministry of Culture to foster research and development at the crossroad of culture and digital sciences. This convention signed between Inria and the Ministry of Culture provides a framework to support projects at the crossroad of the cultural domain and the digital sciences. The main visible event was the annual workshop “Atelier 2022 ministère de la Culture et Inria”.

CovidOnTheWeb - Covid Inria program

Participants: Valentin Ah-Kane, Anna Bobasheva, Lucie Cadorel, Olivier Corby, Elena Cabrio, Jean-Marie Dormoy, Fabien Gandon, Raphaël Gazzotti, Alain Giboin, Santiago Marro, Tobias Mayer, Aline Menin, Franck Michel, Andrea Tettamanzi, Serena Villata, Marco Winckler.

The Covid-On-The-Web project aims to allow biomedical researchers to access, query and make sense of COVID-19 scholarly literature. To do so, we designed and implemented a pipeline levereding our skills in knowledge representation, text mining, argument mining and visualization techniques to process, analyze and enrich the COVID-19 Open Research Dataset (CORD-19) that gathers 100,000+ full-text scientific articles related to the coronaviruses.

The generated RDF dataset comprises the Linked Data description of (1) named entities (NE) mentioned in the CORD-19 corpus and linked to DBpedia, Wikidata and other BioPortal vocabularies, and (2) arguments extracted using ACTA, a tool automating the extraction and visualization of argumentative graphs, meant to help clinicians analyze clinical trials and make decisions.

On top of this dataset, we have adapted visualization and exploration tools (MGExplorer, Arviz) to provide Linked Data visualizations that meet the expectations of the biomedical community.

ISSA (AAP Collex-Persée)

Participants: Franck Michel, Marco Winckler, Anna Bobasheva, Olivier Corby.

Partners: CIRAD, Mines d'Alès

The ISSA project started in October 2020 and is led by the CIRAD. It aims to set up a framework for the semantic indexing of scientific publications with thematic and geographic keywords from terminological resources. It also intends to demonstrate the interest of this approach by developing innovative search and visualization services capable of exploiting this semantic index. Agritrop, Cirad's open publications archive, serves as a use case and proof of concept throughout the project. In this context, the primarily semantic resources are the Agrovoc thesaurus, Wikidata and GeoNames.

Wimmics team is responsible for (1) the generation and publication of the knowledge graph representing the indexed entities, and (2) the development of search/visualization tools intended for researchers and/or information

3IA Côte d'Azur

Participants: Elena Cabrio, Catherine Faron, Fabien Gandon, Freddy Limpens, Andrea Tettamanzi, Serena Villata.

We have four 3IA chairs for tenured researchers of Wimmics and several grants for PhD and postdocs.

We also have an industrial 3IA Affiliate Chair with the company Mnemotix focused on the industrialisation and scalability of the CORESE software.

UCA IDEX OTESIA project “Artificial Intelligence to prevent cyberviolence and hate speech online”

Participants: Elena Cabrio, Serena Villata, Anais Ollagnier.

The project will cross the approaches of mediation / remediation: it is planned to develop a software to detect hate messages based on an analysis of natural language, but also to understand their argumentative structure (not a simple detection of isolated words, insults) and to develop the critical spirit of the victims and therefore, to do this, to develop a counter-speech. Hence interventions in 6 secondary schools for role-playing games that will serve as a basis for data collection. This data, once analysed, will support the development of software to detect hate and violent speech online. As part of a restitution of the work carried out, the institutions will participate in a collaborative manner in the development of counter-speech.

10.1.1 Scientific events: organisation

Participants: Michel Buffa, Fabien Gandon, Marco Winckler.

10.1.2 Scientific events: selection

Participants: Catherine Faron, Fabien Gandon.

10.1.3 Journal

Participants: Catherine Faron, Fabien Gandon, Marco Winckler, Elena Cabrio.

10.1.4 Invited talks

Participants: Fabien Gandon, Serena Villata, Elena Cabrio.

• Fabien Gandon:
  • EKAW 2022 Keynote on “A shift in our research focus: from knowledge acquisition to knowledge augmentation”, 28/09/2022, see recording.
• Serena Villata:
  • Keynote speaker at the the 24th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA-2022), November 2022, Valencia, Spain.13
  • Keynote speaker at the 20th International Workshop on Non-Monotonic Reasoning (NMR-2022) on "Fallacious arguments: the Place Where Knowledge Representation and Argument Mining Meet Each Other", August 2022, Haifa, Israel.14
  • Keynote speaker at the 2nd International Workshop on Knowledge Graphs for Online Discourse Analysis (BeyondFacts-2022) on "Towards argument-based explanatory dialogues: from argument mining to argument generation", April 2022, online event.15
• Elena Cabrio
  • Invited speaker: "Processing Natural Language to Extract, Analyze and Generate Knowledge and Arguments from Texts". Seminar. ALMAnaCH research team, INRIA Paris. March 2022.

10.1.5 Leadership within the scientific community

Participants: Catherine Faron, Fabien Gandon, Marco Winckler, Serena Villata.

• Fabien Gandon was a member, until November 2022, of the Semantic Web Science Association (SWSA) a non-profit organisation for promotion and exchange of the scholarly work in Semantic Web and related fields throughout the world ans steering committee of the ISWC conference.
• Catherine Faron is a member of the steering committee of the EKAW conference
• Marco Winckler is French representative at the IFIP TC13 and member of the Association Francophone pour l'Interaction Homme-Machine.
• Serena Villata is a member of the Comité Nationale Pilote d'Ethique du Numerique (CNPEN) since December 2019.

10.1.6 Scientific expertise

Participants: Catherine Faron, Fabien Gandon, Serena Villata.

• Catherine Faron was an expert for the MSCA Postdoctoral Fellowships call.
• Fabien Gandon is a member of the Choose France committee, was an experts for the Canada Excellence Research Chairs (CERC) competition 2022 and an expert for a call of the European Science Foundation, member of the Polifonia H2020 project advisory board.
• Serena Villata, from November 2021 to November 2022, has been mandated (chargée de mission) for the Culture Ministry for the mission on "Conversational Agents", together with Célia Zolynski and Karine Favro.16
• Serena Villata is a member of the scientific committee CE-23 of the Agence Nationale de la Recherche (ANR) for the AAPG 2022 (7 projects to review, participation to the jury meetings).

10.1.7 Research administration

Participants: Elena Cabrio, Olivier Corby, Catherine Faron, Fabien Gandon, Andrea Tettamanzi, Serena Villata, Marco Winckler.

• Olivier Corby: member of the working group on environmental issue at I3S laboratory.
• Catherine Faron: member of the I3S laboratory council; member of the steering committee of the AFIA college on Knowledge Engineering.
• Fabien Gandon : Leader of the Wimmics team ; Vice-director of Research Inria Sophia Antipolis until September ; co-president of scientific and pedagogical council of the Data Science Technical Institure (DSTI) ; Member of the Evaluation Committee of Inria until September; W3C Advisory Committee Representative (AC Rep) for Inria ; Leader of the convention Inria - Ministry of Culture.
• Serena Villata: Deputy Scientific Director of 3IA Côte d'Azur Institute.
• Elena Cabrio is member of the Conseil d’Administration (CA) of the French Association of Computational Linguistics (ATALA) ; Member of the Bureau of the Académie 1 of IDEX UCA JEDI.
• Andrea Tettamanzi is the leader of the SPARKS team at I3S laboratory.
• Marco Winckler is joint-director of the SPARKS team at the I3S Laboratory, Secretary for the IFIP TC13 on Human-Computer Interaction, member of the Steering Committee of INTERACT.

10.2.1 Teaching

Participants: Michel Buffa, Elena Cabrio, Olivier Corby, Catherine Faron, Fabien Gandon, Aline Menin, Amaya Nogales Gómez, Andrea Tettamanzi, Serena Villata, Marco Winckler, Molka Dhouib, Benjamin Molinet.

• Michel Buffa:
  • Licence 3, Master 1, Master 2 Méthodes Informatiques Appliquées à la Gestion des Entreprises (MIAGE) : Web Technologies, Web Components, etc. 192h.
  • DS4H Masters 3D games programming on Web, JavaScript Introduction: 40h.
• Olivier Corby:
  • Licence 3 IOTA UCA 25 hours Semantic Web
  • Licence 3 IA DS4H UCA 25 hours Semantic Web
• Catherine Faron :
  • Master 2/5A SI PNS: Web of Data, 32 h
  • Master 2/5A SI PNS: Semantic Web 32h
  • Master 2/5A SI PNS: Ingénierie des connaissances 15h
  • Master DSAI UCA: Web of Data, 30h
  • Master 1/4A SI PNS and Master2 IMAFA/5A MAM PNS: Web languages, 28h
  • Licence 3/3A SI PNS and Master 1/4A MAM PNS: Relational Databases, 60h
  • Master DSTI: Data pipeline, 50h.
• Fabien Gandon :
  • Master: Integrating Semantic Web technologies in Data Science developments, 78 h, M2, DSTI, France.
  • Tutorial Soph.IA Master Classes: “INRIA : CORESE, la plate-forme logicielle Open Source pour des graphes de connaissance aux standards du Web”, 2h, see (online resources).
• Aline Menin :
  • Master 1, Data Sciences & Artificial Intelligence, UCA, 14h (CM/TP), Data visualization.
  • Polytech 5ème année, UCA, 13.5h (CM/TP), Data visualization.
  • BUT 2, IUT Nice Côte d'Azur, 106h éq. TD, Dévéloppement efficace & Qualité de développement.
• Amaya Nogales Gómez:
  • Master 1, Data Sciences & Artificial Intelligence, UCA, 20h (CM/TD), Security and Ethical Aspects of Data.
  • Licence 2, Licence Informatique, UCA, 36h (TP), Structures de données et programmation C.
• Serena Villata:
  • Master II Droit de la Création et du Numérique - Sorbonne University: Approche de l'Elaboration et du Fonctionnement des Logiciels, 15 hours (CM), 20 students.
  • Master 2 MIAGE IA - University Côte d'Azur: I.A. et Langage : Traitement automatique du langage naturel, 28 hours (CM+TP), 30 students.
  • Master Communication et Langage Politique - University Côte d'Azur: Argumentation, 15 hours (CM+TD), 10 students.
• Elena Cabrio:
  • Master I Computer Science, Text Processing in AI, e. 30 hours (eq. TD).
  • Master 2 MIAGE IA - University Côte d'Azur: I.A. et Langage : Traitement automatique du langage naturel, 28 hours (CM+TP), 30 students.
  • Master 1 EUR CREATES, Parcours Linguistique, traitements informatiques du texte et processus cognitifs. Introduction to Computational Linguistics, 30 hours.
  • Master 1 EUR CREATES, Parcours Linguistique, traitements informatiques du texte et processus cognitifs. Textual Data Analysis, 30 hours.
  • Master Modeling for Neuronal and Cognitive Systems. Text analysis, deep learning and statistics, 18.5 hours.
  • License 2, Computer Science. Web Technologies, 54 hours.
• Andrea Tettamanzi
  • Licence: Introduction à l'Intelligence Artificielle, 45 h ETD, L2, UCA, France.
  • Master: Logic for AI, 30 h ETD, M1, UCA, France.
  • Master: Web, 30 h ETD, M1, UCA, France.
  • Master: Algorithmes Évolutionnaires, 24.5 h ETD, M2, UCA, France.
  • Master: Modélisation del l'Incertitude, 24.5 h ETD, M2, UCA, France.
• Marco Winckler
  • Licence 3: Introduction to Human-Computer Interaction, 45 h ETD, UCA, Polytech Nice, France.
  • Master 1: Accessibility and Universal Design, 10 h ETD, UCA, DS4H, France.
  • Master 1: Methods and tools for technical and scientific writing, Master DSAI, 15 h ETD, UCA, DS4H, France.
  • Master 1: Introduction to Information Visualization, Master DSAI, 15 h ETD, UCA, DS4H, France.
  • Master 2: Introduction to Scientific Research, 10 h ETD, UCA, DS4H, France.
  • Master 2: Introduction to Scientific Research, 15 h ETD, UCA, Polytech Nice, France.
  • Master 2: Data Mining Visualisation, 8 h ETD, UCA, Polytech Nice, France.
  • Master 2: Data Visualization, 15 h ETD, UCA, MBDS DS4H, France.
  • Master 2: Design and Evaluation of User Interfaces, 45 ETD, UCA, Polytech Nice, France.
  • Master 2: Multimodal Interaction Techniques, 15 ETD, UCA, Polytech Nice, France.
  • Master 2: coordination of the TER (Travaux de Fin d'Etude), UCA, Polytech Nice, France.
  • Master 2: coordination of the track on Human-Computer Interaction at the Informatics Department, UCA, Polytech Nice, France.
• Molka Dhouib
  • Licence 3/3A SI PNS: Relational Databases, 32h (TD).
• Molinet Benjamin:
  • License 2, Computer Science. Web Technologies, 54 hours.

E-learning

• Mooc: Fabien Gandon, Olivier Corby & Catherine Faron, Web of Data and Semantic Web (FR), 7 weeks, FUN, Inria, France Université Numérique, self-paced course 41002, Education for Adults, 17496 learners registered at the time of this report and 855 certificates/badges, MOOC page.
• Mooc: Fabien Gandon, Olivier Corby & Catherine Faron, Introduction to a Web of Linked Data (EN), 4 weeks, FUN, Inria, France Université Numérique, self-paced course 41013, Education for Adults, 5952 learners registered at the time of this report, MOOC page.
• Mooc: Fabien Gandon, Olivier Corby & Catherine Faron, Web of Data (EN), 4 weeks, Coursera, self-paced course Education for Adults, 5134 learners registered at the time of this report, MOOC page.
• Mooc: Michel Buffa, HTML5 coding essentials and best practices, 6 weeks, edX MIT/Harvard, self-paced course Education for Adults, more than 500k learners at the time of this report (2015-2022), MOOC page.
• Mooc: Michel Buffa, HTML5 Apps and Games, 5 weeks, edX MIT/Harvard, self-paced course Education for Adults, more than 150k learners at the time of this report (2015-2022), MOOC page.
• Mooc: Michel Buffa, JavaScript Introduction, 5 weeks, edX MIT/Harvard, self-paced course Education for Adults, more than 250k learners at the time of this report (2015-2022), MOOC page.

10.2.2 Supervision

Participants: Michel Buffa, Elena Cabrio, Catherine Faron, Fabien Gandon, Aline Menin, Andrea Tettamanzi, Serena Villata, Marco Winckler, Nadia Yacoubi Ayadi.

• PhD in progress: Ali Ballout, Active Learning for Axiom Discovery, Andrea Tettamanzi, UCA.
• PhD in progress: Lucie Cadorel, Localisation sur le territoire et prise en compte de l'incertitude lors de l’extraction des caractéristiques de biens immobiliers à partir d'annonces, Andrea Tettamanzi, UCA.
• PhD defended: Ahmed El Amine Djebri, Uncertainty in Linked Data, UCA, Andrea Tettamanzi, Fabien Gandon 90.
• PhD in progress: Rony Dupuy Charles, Combinaison d'approches symboliques et connexionnistes d'apprentissage automatique pour les nouvelles méthodes de recherche et développement en agro-végétale-environnement, Andrea Tettamanzi, UCA.
• PhD defended: Antonia Ettore, Artificial Intelligence for Education and Training: Knowledge Representation and Reasoning for the development of intelligent services in pedagogical environment, UCA, Catherine Faron, Franck Michel.
• PhD in progress: Rémi Felin, Découverte évolutive d’axiomes à partir de graphes de connaissances, UCA, Andrea Tettamanzi, Catherine Faron.
• PhD defended: Nicholas Halliwell, Explainable and Interpretable Prediction, UCA, Fabien Gandon 91.
• PhD in progress: Santiago Marro, Argument-based Explanatory Dialogues for Medicine, UCA 3IA, Elena Cabrio and Serena Villata.
• PhD in progress: Benjamin Molinet, Explanatory argument generation for healthcare applications, UCA 3IA, Elena Cabrio and Serena Villata.
• PhD in progress: Pierpaolo Goffredo, Fallacious Argumentation in Political Debates, UCA 3IA, Elena Cabrio and Serena Villata.
• PhD in progress: Xiaoou Wang, Counter-argumentation generation to fight online disinformation, UCA, Elena Cabrio and Serena Villata.
• PhD in progress: Benjamin Ocampo, Subtle and Implicit Hate Speech Detection, UCA 3IA, Elena Cabrio and Serena Villata.
• PhD in progress: Maroua Tikat, Visualisation multimédia interactive pour l’exploration d’une base de métadonnées multidimensionnelle de musiques populaires. Michel Buffa, Marco Winckler.
• PhD in progress: Célian Ringwald, Learning RDF pattern extractors for a language from dual bases Wikipedia/LOD, Fabien Gandon, Franck Michel, 3IA,UCA.
• PhD in progress: Florent Robert, Analyzing and Understanding Embodied Interactions in Extended Reality Systems. Co-supervision with Hui-Yin Wu, Lucile Sassatelli, and Marco Winckler.
• PhD in progress: Clément Quere. Immersive Visualization Techniques for spatial-temporal data. Co-supervision with Aline Menin and Hui-Yin Wu.

Internships

• Master 2 internship: Arnaud Barbe . Co-supervised by Catherine Faron, Franck Michel, Nadia Yacoubi Ayadi.
• Master 2 internship: Felipe Gomes “Développement de la plateforme ANR CROBORA (CROssing BORders Archives)”, Internship at Université Côte d’Azur – Laboratoire de recherche SIC. Lab Méditerranée, France. Co-supervision with Matteo Treleani.

Master Projects (TER)

• Master 2 TER: ELMehdi Soummer. Co-supervised by Molka Dhouib, Catherine Faron.
• Master 1 TER: Ekaterina Kostrykina. Co-supervised by Molka Dhouib, Catherine Faron.

10.2.3 Juries

Participants: Catherine Faron, Serena Villata, Serena Villata, Marco Winckler.

• Catherine Faron was the president of a selection committee for the recruitment of a senior lecturer (maître de conférences) at Université Côte d'Azur, member of the Inria Comité Nice for the recruitment of post-doctoral researchers and delegations, member of the PhD defense juries of Thamer Mecharnia (reviewer) and Nicolas Lasolle (reviewer).
• Serena Villata was a member of the PhD jury of Jorge Fernandez Davila, University of Toulouse. Title of the thesis: "Logic-based cognitive planning: from theory to implementation".
• Elena Cabrio was a member of the PhD jury of I. Sucameli, University of Pisa (Italy); K. Zarei, Institut Polytechnique de Paris (IP-Paris, France); S. Frenda, University of Turin (Italy); F. Ruggeri, University of Bologna (Italy).
• Marco Winckler was a member of the PhD Jury of Haritz MEDINA CAMACHO, Haritz. Title of the thesis: “Harnessing customization in Web Annotation: A Software Product Line approach”. Presented at the Universidad del Pais Vasco (UPV/EHU), San Sebastien, Spain, on October 7th 2022. (Rapporteur).

10.3.1 Articles and contents

Fabien Gandon:

• co-authored a paper on the history and evolution of the Web titled “A Never-Ending Project for Humanity Called "the Web"”  58.
• authored a novel to introduce recursivity in the SIF review: “Cours toujours”   98.
• IA : bâtir la confiance et garantir la souveraineté, INRIA interview

10.3.2 Interventions

• Fabien Gandon: performed 3 sessions “Chiche!” at Lycée Thierry Maulnier, 13/12/2022

International journals

• 28 articleA.Anna Bobasheva, F.Fabien Gandon and F.Frédéric Precioso. Learning and Reasoning for Cultural Metadata Quality.Journal on Computing and Cultural Heritage153September 2022
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• 29 articleP. A.Piero A. Bonatti, I. M.Iliana M. Petrova and L.Luigi Sauro. Optimizing the computation of overriding in DLN.Artificial Intelligence311October 2022, 103764
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• 30 articleG.Gabriela Bosetti, A.Alex Tacuri, I.Ishaya Gambo, S.Sergio Firmenich, G.Gustavo Rossi, M.Marco Winckler and A.Alejandro Fernandez. ANDES: An approach to embed search services on the Web browser.Computer Standards and Interfaces82August 2022, 103633
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• 31 articleM.Michael Fell, E.Elena Cabrio, M.Maroua Tikat, F.Franck Michel, M.Michel Buffa and F.Fabien Gandon. The WASABI Song Corpus and Knowledge Graph for Music Lyrics Analysis.Language Resources and Evaluation2022
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• 32 articleR.Raphaël Gazzotti, C.Catherine Faron Zucker, F.Fabien Gandon, V.Virginie Lacroix-Hugues and D.David Darmon. Extending electronic medical records vector models with knowledge graphs to improve hospitalization prediction.Journal of Biomedical Semantics136February 2022, 20
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• 33 articleC.Christopher Leturc and G.Grégory Bonnet. Reasoning about manipulation in multi-agent systems.Journal of Applied Non-Classical LogicsSeptember 2022, 1-67
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• 34 articleM.Marine Louarn, F.Fabrice Chatonnet, X.Xavier Garnier, T.Thierry Fest, A.Anne Siegel, C.Catherine Faron and O.Olivier Dameron. Improving reusability along the data life cycle: a Regulatory Circuits Case Study.Journal of Biomedical Semantics1312022, 1-11
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• 35 articleP.Pierre Maillot, O.Olivier Corby, C.Catherine Faron, F.Fabien Gandon and F.Franck Michel. IndeGx: A Model and a Framework for Indexing RDF Knowledge Graphs with SPARQL-based Test Suits.Journal of Web SemanticsJanuary 2023
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• 36 articleA.Aline Menin, M. N.Minh Nhat Do, C.Carla Dal Sasso Freitas, O.Olivier Corby, C.Catherine Faron Zucker, A.Alain Giboin and M.Marco Winckler. Using Chained Views and Follow-up Queries to Assist the Visual Exploration of the Web of Big Linked Data.International Journal of Human-Computer InteractionAugust 2022
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• 37 articleS.Shihong Ren, L.Laurent Pottier, M.Michel Buffa and Y.Yang Yu. JSPatcher, a Visual Programming Environment for Building High-Performance Web Audio Applications.Journal of the Audio Engineering SocietyNovember 2022
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• 38 articleS.Stefan Sarkadi, A. G.Andrea G. B. Tettamanzi and F.Fabien Gandon. Interoperable AI: Evolutionary Race Towards Sustainable Knowledge Sharing.IEEE Internet ComputingOctober 2022
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• 39 articleS.Serena Villata, M.Michal Araszkiewicz, K.Kevin Ashley, T.Trevor Bench-Capon, L. K.L. Karl Branting, J.Jack Conrad and A.Adam Wyner. Thirty years of artificial intelligence and law: the third decade.Artificial Intelligence and Law304December 2022, 4143-4149
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• 40 articleM.Marco Winckler, P.Philippe Palanque, J.-L.Jean-Luc Hak, E.Eric Barboni, O.Olivier Nicolas and L.Laurent Goncalves. Engineering Annotations: A Generic Framework For Gluing Design Artefacts in Models of Interactive Systems.Proceedings of the ACM on Human-Computer Interaction EICS 2022June 2022
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• 41 articleH.-Y.Hui-Yin Wu, F. A.Florent Alain Sauveur Robert, T.Théo Fafet, B.Brice Graulier, B.Barthélemy Passin-Cauneau, L.Lucile Sassatelli and M.Marco Winckler. Designing Guided User Tasks in VR Embodied Experiences.Proceedings of the ACM on Human-Computer Interaction 61582022, 1–24
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International peer-reviewed conferences

• 42 inproceedingsA.Ali Ballout, C.Célia da Costa Pereira and A. G.Andrea G. B. Tettamanzi. Learning to Classify Logical Formulas Based on Their Semantic Similarity.Lecture Notes in Computer Science. Lecture Notes in Artificial IntelligencePRIMA 2022 - Principles and Practice of Multi-Agent Systems - 24th International ConferenceLNCS. LNAI-13753PRIMA 2022: Principles and Practice of Multi-Agent SystemsValencia, SpainSpringer International PublishingNovember 2023, 364-380
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• 43 inproceedingsA.Ali Ballout, A. G.Andrea G B Tettamanzi and C.Célia da Costa Pereira. Predicting the Score of Atomic Candidate OWL Class Axioms.WI-IAT 2022 - 21st IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent TechnologyNiagara Falls, CanadaNovember 2022
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• 44 inproceedingsD.Dylan Batisse, A.Antoine Vidal-Mazui, J.-P.Jean-Philippe Carlens, A.Antoine Cousson and M.Michel Buffa. Host and Plugins : Parameter Automation Without Crossing the Audio Thread Barrier.WAC 2022 - Web Audio Conference 2022Cannes, FranceJuly 2022
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• 45 inproceedingsJ.Julian Bruyat, P.-A.Pierre-Antoine Champin, L.Lionel Médini and F.Frederique Laforest. Shacled Turtle: Schema-Based Turtle Auto-Completion.Workshop on Visualization and Interaction for Ontologies and Linked Data 2022, co-located with the International Semantic Web Conference 20223253CEUR Workshop ProceedingsHangzhou (Virtual Event), ChinaOctober 2022, 2-15
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• 46 inproceedingsM.Michel Buffa, P.Pierre Kouyoumdjian, Q.Quentin Beauchet, Y.Yann Forner and M.Michael Marynowic. Making a guitar rack plugin -WebAudio Modules 2.0.Web Audio Conference 2022Cannes, FranceJuly 2022
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• 47 inproceedingsM.Michel Buffa, L.Laurent Pottier, S.Shihong Ren and Y.Yang Yu. Making Computer Music on the Web with JSPatcher.SMC 2022 - Sound and Music Computing 2022Saint-Etienne, FranceJune 2022
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• 48 inproceedingsM.Michel Buffa, S.Shihong Ren, O.Owen Campbell, J.Jari Kleimola, O.Oliver Larkin and T.Tom Burns. Web Audio Modules 2.0: An Open Web Audio Plugin Standard.Proceedings of the WWW '22: The ACM Web Conference 2022WWW '22: The ACM Web Conference 2022Virtual Event, FranceACMApril 2022, 364-369
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• 49 inproceedings M.Michel Buffa. Web Audio Modules 2.0: Audio Plugins for the Web Platform! ADC 2022 - Audio Developer Conference Londres, United Kingdom November 2022
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• 50 inproceedingsL.Lucie Cadorel, A.Alicia Blanchi and A. G.Andrea G. B. Tettamanzi. Connaissances géospatiales dans les annonces immobilières : détection et extraction d’information spatiale à partir du texte.IC 2022 - Journées francophones d'Ingénierie des Connaissances (dans le cadre de PFIA 2022)IC, Journées francophones d'Ingénierie des Connaissances, PFIA 2022Saint-Étienne, FranceAfIAJune 2022, 20-21
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• 51 inproceedingsL.Lucie Cadorel, D.Denis Overal and A. G.Andrea G. B. Tettamanzi. Fuzzy representation of vague spatial descriptions in real estate advertisements.Proceedings of the 6th ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising, LocalRec 2022Seattle Washington, United StatesACMNovember 2022, 1-4
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• 52 inproceedingsL.Lucie Cadorel, A. G.Andrea G. B. Tettamanzi and F.Fabien Gandon. Towards a representation of uncertain geospatial information in knowledge graphs.GKG 2022 - Proceedings of the 1th ACM SIGSPATIAL International Workshop on Geospatial Knowledge GraphsSeattle, Washington, United StatesNovember 2022, 1-2
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• 53 inproceedingsC.Célia da Costa Pereira, D.Didier Dubois, H.Henri Prade and A. G.Andrea G. B. Tettamanzi. Parsimonious Representation of Knowledge Uncertainty using Metadata about Validity and Completeness.Proceedings of the 14th International Conference on Agents and Artificial Intelligence, ICAART 2022, Volume 2, Online Streaming, February 3–5, 2022ICAART 2022 - 14th International Conference on Agents and Artificial Intelligence2Proceedings of the 14th International Conference on Agents and Artificial Intelligence - (Volume 2)Online Streaming, PortugalSCITEPRESS : Science and Technology PublicationsFebruary 2022, 441-449
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• 54 inproceedingsM.Mattia Di Russo, Z.Zakaria Babutsidze, C.Célia da Costa Pereira, M.Maurizio Iacopetta and A. G.Andrea G. B. Tettamanzi. Agent-Based Modeling for Studying the Spontaneous Emergence of Money.WI-IAT '22: The 21st IEEE/WIC/ACM International Conference on Web Intelligence and Agent TechnologiesNiagara Falls, CanadaACMNovember 2022
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• 55 inproceedingsA.Antonia Ettorre, A.Anna Bobasheva, F.Franck Michel and C.Catherine Faron. Stunning Doodle: a Tool for Joint Visualization and Analysis of Knowledge Graphs and Graph Embeddings.ESWC 2022 - European Semantic Web ConferencesHersonissos, GreeceMay 2022
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• 56 inproceedingsA.Antonia Ettorre, A.Anna Bobasheva, F.Franck Michel and C.Catherine Faron. Stunning Doodle: un outil pour la visualisation et l'analyse conjointe de graphes de connaissances et leurs plongements.PFIA 2022 - Journées francophones d’Ingénierie des ConnaissancesSaint-Étienne, France2022
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• 57 inproceedingsR.Rémi Felin, O.Olivier Corby, C.Catherine Faron and A. G.Andrea G B Tettamanzi. Optimizing the Computation of a Possibilistic Heuristic to Test OWL SubClassOf Axioms Against RDF Data.The 21st IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent TechnologyNiagara Falls, FranceNovember 2022
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• 58 inproceedingsF.Fabien Gandon and W.Wendy Hall. A Never-Ending Project for Humanity Called "the Web".WWW 2022 - ACM Web ConferenceLyon (virtual), FranceApril 2022
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• 59 inproceedingsP.Pierpaolo Goffredo, S.Shohreh Haddadan, V.Vorakit Vorakitphan, E.Elena Cabrio and S.Serena Villata. Fallacious Argument Classification in Political Debates.Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}Vienna, AustriaInternational Joint Conferences on Artificial Intelligence OrganizationJuly 2022, 4143-4149
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• 60 inproceedingsD.Damien Graux and A.Anaïs Ollagnier. LOV-ES: Guiding the Ontology Selection to Structure Textual Data using Topic Modeling.International Semantic Web ConferenceHangzou, ChinaOctober 2022
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• 61 inproceedingsQ.Quentin Guimard, F.Florent Robert, C.Camille Bauce, A.Aldric Ducreux, L.Lucile Sassatelli, H.-Y.Hui-Yin Wu, M.Marco Winckler and A.Auriane Gros. On the link between emotion, attention and content in virtual immersive environments.2022 IEEE International Conference on Image Processing (ICIP) - IEEEXploreICIP 2022 - IEEE International Conference on Image ProcessingBordeaux, FranceOctober 2022
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• 62 inproceedingsQ.Quentin Guimard, F.Florent Robert, C.Camille Bauce, A.Aldric Ducreux, L.Lucile Sassatelli, H.-Y.Hui-Yin Wu, M.Marco Winckler and A.Auriane Gros. PEM360: A dataset of 360° videos with continuous Physiological measurements, subjective Emotional ratings and Motion traces.MMSys 2022 - 13th ACM Multimedia Systems ConferenceAthlone, IrelandJune 2022
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• 63 inproceedingsN.Nicholas Halliwell. Evaluating Explanations of Relational Graph Convolutional Network Link Predictions on Knowledge Graphs.AAAI 2022 - 36th AAAI Conference on Artificial IntelligenceVancouver, CanadaFebruary 2022
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• 64 inproceedingsN.Nicholas Halliwell, F.Fabien Gandon and F.Freddy Lecue. Impact of Injecting Ground Truth Explanations on Relational Graph Convolutional Networks and their Explanation Methods for Link Prediction on Knowledge Graphs.WI-IAT 2022 - The 21st IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent TechnologyNiagara Falls / Hybrid, CanadaNovember 2022
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• 65 inproceedingsN.Nicholas Halliwell, F.Fabien Gandon, F.Freddy Lecue and S.Serena Villata. The Need for Empirical Evaluation of Explanation Quality.AAAI 2022 - Workshop on Explainable Agency in Artificial IntelligenceVancouver, CanadaFebruary 2022
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• 66 inproceedingsJ.Jerome Lebrun, M.Michel Buffa and J.Jordan Sintes. From blues to rock to jazz: three different web audio tube guitar amplifier simulator plugins.Proceedings of 7th Web Audio Conference (WAC 2022), Cannes, FranceWAC 2022 - Web Audio Conference 2022Cannes, FranceJuly 2022
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• 67 inproceedingsA.Angela Locoro, P.Paolo Buono, M.Marco Winckler and S.Silvia Corchs. Representable AI: Towards a Unified View of Core Dimensions for a Visual Framework.CEUR proceedings 3136: https://dblp.org/db/conf/avi/copda2022.htmlWorkshop on Cultures of Participation in the Digital Age: AI for Humans or Humans for AI ?Frascati (Rome), ItalyJune 2022
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• 68 inproceedingsS.Santiago Marro, E.Elena Cabrio and S.Serena Villata. Argumentation Quality Assessment: an Argument Mining Approach.Argumentation Quality Assessment: an Argument Mining ApproachRome, ItalyOctober 2022
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• 69 inproceedingsS.Santiago Marro, E.Elena Cabrio and S.Serena Villata. Graph Embeddings for Argumentation Quality Assessment.Graph Embeddings for Argumentation Quality AssessmentEMNLP 2022 - Conference on Empirical Methods in Natural Language ProcessingAbu Dhabi, United Arab EmiratesDecember 2022
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• 70 inproceedingsC.Célia Martinie, P.Philippe Palanque and M.Marco Winckler. Usability and User Experience are not Enough: Gaps to Fill to Design for and Assess Well-Being and Engagement.à paraîtreVIII Iberoamerican Conference on Human-Computer Interaction 2022La Havane, CubaOctober 2022, 1-14
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• 71 inproceedingsA.Aline Menin, M.Michel Buffa, M.Maroua Tikat, B.Benjamin Molinet, G.Guillaume Pelerin, L.Laurent Pottier, F.Franck Michel and M.Marco Winckler. Incremental and multimodal visualization of discographies: exploring the WASABI music knowledge base.WAC 2022 - Web Audio Conference 20222022WAC Proceedings 2022Cannes, FranceJune 2022
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• 72 inproceedingsF.Franck Michel, F.Florence Amardeilh, R.Robert Bossy, C.Catherine Faron, C.Catherine Roussey and C.Camille Noûs. Alignement entre sources : cas d'usage des plantes cultivées.PFIA 2022 - Journées francophones d’Ingénierie des ConnaissancesSaint-Étienne, France2022
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• 73 inproceedingsF.Franck Michel, A.Anne Toulet, A.Anna Bobasheva, M.-C.Marie-Claude Deboin, S.Sébastien Dupré, A.Aline Menin, M.Marco Winckler and A.Andon Tchechmedjiev. Semantic Indexing of Open Scientific Literature to Help Users Discover and Navigate through Publications Networks.Biodiversity Information Science and Standards, ISSN 2535-0897TDWG 2022 - The Biodiversity Information Standards annual conference6Sofia, BulgariaAugust 2022
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• 74 inproceedingsB.Benjamin Molinet, S.Santiago Marro, E.Elena Cabrio, S.Serena Villata and T.Tobias Mayer. ACTA 2.0: A Modular Architecture for Multi-Layer Argumentative Analysis of Clinical Trials.IJCAI 2022 - Thirty-First International Joint Conference on Artificial IntelligenceVienna, AustriaJuly 2022
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• 75 inproceedingsA.Anaïs Ollagnier, E.Elena Cabrio, S.Serena Villata and C.Catherine Blaya. CyberAgressionAdo-v1: a Dataset of Annotated Online Aggressions in French Collected through a Role-playing Game.Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022),Language Resources and Evaluation ConferenceMarseille, FranceJune 2022
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• 76 inproceedingsS.Shihong Ren, S.Stéphane Letz, Y.Yann Orlarey, D.Dominique Fober, R.Romain Michon, M.Michel Buffa and L.Laurent Pottier. Modernized Toolchains to Create JSPatcher Objects and WebAudioModules from Faust Code.WAC 2022 - 7th International Web Audio ConferenceCannes, FranceJuly 2022
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• 77 inproceedingsF. A.Florent Alain Sauveur Robert, M.Marco Winckler, L.Lucile Sassatelli and H.-Y.Hui-Yin Wu. Research Proposal: Analyzing and Understanding Embodied Interactions in Virtual Reality Systems.ACM MMSys 2022 - 13th ACM Multimedia Systems ConferenceAthlone, IrelandJune 2022
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• 78 inproceedingsM.Maroua Tikat, A.Aline Menin, M.Michel Buffa and M.Marco Winckler. Engineering Annotations to Support Analytical Provenance in Visual Exploration Processes.Lecture Notes in Computer ScienceICWE 2022 - 22nd International Conference of Web EngineeringLNCS - 13362Web EngineeringBari, ItalyJuly 2022, 1-16
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• 79 inproceedingsA.Anne Toulet, F.Franck Michel, A.Anna Bobasheva, A.Aline Menin, S.Sébastien Dupré, M.-C.Marie-Claude Deboin, M.Marco Winckler and A.Andon Tchechmedjiev. ISSA: Generic Pipeline, Knowledge Model and Visualization tools to Help Scientists Search and Make Sense of a Scientific Archive.ISWC 2022 - 21st International Semantic Web ConferenceHangzhou, China2022
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• 80 inproceedingsV.Vorakit Vorakitphan, E.Elena Cabrio and S.Serena Villata. PROTECT: A Pipeline for Propaganda Detection and Classification.CLiC-it 2021- Italian Conference on Computational LinguisticsMilan, ItalyJanuary 2022
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• 81 inproceedingsN.Nadia Yacoubi Ayadi, C.Catherine Faron, F.Franck Michel, F.Fabien Gandon and O.Olivier Corby. A Model for Meteorological Knowledge Graphs: Application to Météo-France Data.ICWE 2022- 22nd International Conference on Web Engineering22nd International Conference on Web Engineering, ICWE 2022Bari, ItalyJuly 2022
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• 82 inproceedingsN.Nadia Yacoubi, D.Damien Graux and C.Catherine Faron. Multi-Level Visual Tours of Weather Linked Data.Proceedings of the Seventh International Workshop on the Visualization and Interaction for Ontologies and Linked Data (VOILA) co-located with the 21st International Semantic Web ConferenceHangzhou, China2022
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• 83 inproceedingsS.Stefano d'Angelo, F.Frederic Precioso and F.Fabien Gandon. Revisiting Artistic Style Transfer for Data Augmentation in A Real-Case Scenario.IEEE ICIP 2022 - 29th IEEE International Conference on Image ProcessingBordeaux, FranceIEEEOctober 2022, 4178-4182
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National peer-reviewed Conferences

• 84 inproceedingsF.Fabien Gandon, N.Nicholas Halliwell and F.Freddy Lecue. Evaluation d'explications pour la prédiction de liens dans les graphes de connaissances par des réseaux convolutifs.Ingénierie des Connaissances 2022 - IC 2022- PFIA 2022Saint - Etienne, FranceJune 2022
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• 85 inproceedingsM.Molka Tounsi Dhouib, C.Catherine Faron and O.Oscar Rodríguez Rocha. Comparison of the use of a standard repository and an internal repository for the recommendation of learning objects.PFIA 2022 - Environnements Informatiques pour l’Apprentissage Humain et Intelligence ArtificielleSaint-Étienne, France2022
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• 86 inproceedingsM.Molka Tounsi Dhouib, C.Catherine Faron and O.Oscar Rodríguez Rocha. Learning object recommendation based on learning objectives using sentence embeddings models.PFIA 2022 - Conférence Nationale sur les Applications Pratiques de l’Intelligence Artificielle 2022Saint-Étienne, FranceJune 2022
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• 87 inproceedingsN.Nadia Yacoubi Ayadi, C.C Faron, F.F Michel, R.R Bossy and A.A Barbe. Construction d'un graphe de connaissances à partir des annotations d'articles scientifiques et de leur contenu en sciences de la vie.IC'2022 - PFIA 2022 Journées francophones d'Ingénierie des ConnaissancesSaint-Etienne, FranceJune 2022
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Scientific book chapters

• 88 inbookP.-A.Pierre-Alexandre Mattei and S.Serena Villata. Introduction à l'intelligence artificielle et aux modèles génératifs.Informatique Mathématique: Une photographie en 2022CNRS Editions2022
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• 89 inbookA.Aline Menin, P.Pierre Maillot, C.Catherine Faron, O.Olivier Corby, C. M.Carla Maria Dal Sasso Freitas, F.Fabien Gandon and M.Marco Winckler. LDViz: a tool to assist the multidimensional exploration of SPARQL endpoints.WEBIST 2020/2021, LNBIP 4692023
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Doctoral dissertations and habilitation theses

• 90 thesisA. E.Ahmed El Amine Djebri. Uncertainty Management for Linked Data Reliability on the Semantic Web.Université Côte D’AzurFebruary 2022
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• 91 thesisN.Nicholas Halliwell. Evaluating and improving explanation quality of graph neural network link prediction on knowledge graphs.Université Côte d'AzurNovember 2022
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Reports & preprints

• 92 reportM.Mahamadou Toure, F.Fabien Gandon, K.Kaladzavi Guidedi, M.Moussa Lo and C.Christophe Guéret. Survey of Models and Architectures to Ensure Linked Data Access.Inria & Université Nice Sophia Antipolis, CNRS, I3S, Sophia Antipolis, FranceJanuary 2023, 23
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Other scientific publications

• 93 inproceedingsA.Antonia Ettorre, F.Franck Michel and C.Catherine Faron. Prediction of Students' performance in E-learning Environments based on Link Prediction in a Knowledge Graph.AIED 2022 - The 23rd International Conference on Artificial Intelligence in Education13355Durham, United KingdomSpringer2022
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• 94 inproceedingsN.Nicholas Halliwell, F.Fabien Gandon and F.Freddy Lecue. A Simplified Benchmark for Ambiguous Explanations of Knowledge Graph Link Prediction using Relational Graph Convolutional Networks.AAAI 2022 - 36th AAAI Conference on Artificial IntelligenceVancouver, CanadaFebruary 2022
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• 95 inproceedingsP.Pierre Maillot, O.Olivier Corby, C.Catherine Faron, F.Fabien Gandon and F.Franck Michel. KartoGraphI: Drawing a Map of Linked Data.ESWC 2022 - 19th European Semantic Web ConferencesHersonissos, GreeceSpringerMay 2022
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• 96 inproceedingsN.Nadia Yacoubi Ayadi, C.Catherine Faron, F.Franck Michel, F.Fabien Gandon and O.Olivier Corby. WeKG-MF: a Knowledge Graph of Observational Weather Data.ESWC 2022 - 19th Extended Semantic Web ConferenceHersonissos, GreeceMay 2022
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Scientific popularization

• 97 inproceedingsM.Michel Buffa. Audio on the Web (a brief history).SMC 2022 - Sound and Music ComputingSaint-Etienne, FranceJune 2022
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• 98 articleF.Fabien Gandon. Cours toujours.1024 : Bulletin de la Société Informatique de FranceNovember 2022, 129 - 138
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• 99 articleA.Anne Toulet, F.Franck Michel and A.Andon Tchechmedjiev. Le projet ISSA : l’intelligence artificielle au service de la recherche bibliographique.Arabesques107September 2022, 6-7
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