Section: Partnerships and Cooperations
National Initiatives
ANR
VERSO DataRing(2008-2012, 300Keuros)
Participants : Reza Akbarinia, Zohra Bellahsène, Emmanuel Castanier, Duy Hoa Ngo, Esther Pacitti, Didier Parigot, Guillaume Verger, Patrick Valduriez [leader] .
URL: http://www-sop.inria.fr/teams/zenith/dataring
The DataRing project, headed by P. Valduriez, involves the Leo project-team (Inria Saclay Ile de France), LIG, LIRMM and Telecom ParisTech. The objective is to address the problem of data sharing for online communities, such as social networks (e.g. sites like MySpace and Facebook) and professional communities (e.g. research communities, online technical support groups) which are becoming a major killer application of the web. The project addresses this problem by organizing community members in a peer-to-peer (P2P) network ring across distributed data source owners where each member can share data with the others through a P2P overlay network. In this project, we study the following problems: schema matching, query processing with data uncertainty, data indexing and caching, data privacy and trust. To validate our approach, we develop services based on our prototypes WebSmatch, SON, P2Prec and ProbDB.
OTMedia (2011-2013), 150Keuros
Participants : Alexis Joly, Julien Champ, Pierre Letessier.
The Transmedia Observatory project, launched in November 2010, aims to develop processes, tools and methods to better understand the challenges and changes in the media sphere. Studying and tracking media events on all media (web, press, radio and television) are the two prioritized research areas. OTMedia brings together six partners: Inria (ZENITH), AFP (French Press Agency), INA (French National Audiovisual Institute), Paris 3 Sorbonne Nouvelle (researchers in Information Science and Communication), Syllabs (a SME specialized in semantic analysis and automatic creation of text) and the Computer Science Laboratory of Avignon University. ZENITH addresses more specifically the research challenges related to the trans-media tracking of visual contents (images and videos) and the clustering of heterogeneous information sources.
Others
RTRA Pl@ntNet (2009-2013), 1Meuros
Participants : Alexis Joly, Hervé Goëau, Saloua Litayem, Mathias Chouet.
The Pl@ntNet project http://www.plantnet-project.org/ was launched in 2009 by a large international consortium headed by three groups with complementary skills (UMR AMAP (http://amap.cirad.fr/en/ ), IMEDIA project team at Inria, and the French botanical network TelaBotanica (http://www.tela-botanica.org/ )), with financial support from the Agropolis Foundation. Due to the departure of Nozha Boujemaa from the head of IMEDIA and the mobility of Alexis Joly in 2011, ZENITH has been entrusted with the Inria's management and scientific coordination of the project in spring 2012. The objectives of the project are (i) to develop cutting-edge transdisciplinary research at the frontier between integrative botany and computational sciences, based on the use of large datasets and expertise in plant morphology, anatomy, agronomy, taxonomy, ecology, biogeography and practical uses (ii) provide free, easy-access software tools and methods for plant identification and for the aggregation, management, sharing and utilization of plant-related data (iii) promote citizen science as a powerful means to enrich databases with new information on plants and to meet the need for capacity building in agronomy, botany and ecology.
CIFRE INA/Inria (2011-2013), 100Keuros
Participants : Alexis Joly, Pierre Letessier.
This CIFRE contract with INA funds a 3-years PhD (Pierre Letessier) to address research challenges related to content-based mining of visual objects in large collections.
CNRS INS2I Mastodons (2012), 30Keuros
Participants : Florent Masseglia, Patrick Valduriez, Esther Pacitti [leader] .
This project deals with the problems of big data in the context of life science, where masses of data are being produced, e.g. by Next Generation Sequencing technologies or plant phenotyping platforms. In this project, Zenith addresses the specific problems of large-scale data analysis and data sharing.