- Research and development collaboration with Mnemotix in particular on the outputs of the ISICIL project
- Alcatel Bell Lucent: PhD Thesis of Nicolas Marie on Pervasive sociality through social objects (2011-2013)
- SAP Research: PhD Thesis of Corentin Follenfant on Semantic Web and Business Intelligence (2011-2013)
- University Gaston Berger, Saint-Louis, Senegal: Semantic and Social Web Platform for Communities Knowledge Sharing, (accepted AUF project 2011-2013)
- University Badji Mokhtar, Annaba, Algérie: Personalization and socialization of e-learning systems based on semantic web models (CNRS/DPGRF project 2010-2012)
- CSTB: PhD of Khalil Riad Bouzidi on Modeling regulatory documents (2009-2012)
- IGN Cogit: Master Thesis on Semantics for Cartography (2011)
SMILK (Social Media Intelligence and Linked Knowledge) is a joint laboratory (Labcom, 2013-2016) between the WIMMICS team and the Research and Innovation unit of VISEO (Grenoble). Natural Language Processing, Linked Open Data and Social Networks as well as the links between them are at the core of this LabCom. The purpose of SMILK is both to develop research and technologies in order to retrieve, analyze, and reason on textual data coming from Web sources, and to make use of LOD, social networks structures and interaction in order to improve the analysis and understanding of textual resources.
Topics covered by SMILK include: use of data and vocabularies published on the web in order to search, analyze, disambiguate and structure textual knowledge in a smart way, but also to feed internal information sources; reasoning on the combination of internal and public data and schemes, query and presentation of data and inferences in natural formats.
QAKiS is a system for open domain Question Answering over linked data. It addresses the problem of question interpretation as a relation-based match, where fragments of the question are matched to binary relations of the triple store, using relational textual patterns automatically collected. There is an online version of the system and a screencast of it too.
Discovery hub is an exploratory search engine which helps you to discover things you might like or be interested in. It widens your cultural and knowledge horizons by revealing and explaining unattended information. Based on Wikipedia data, Discovery Hub is cross-domain and works on numerous topics including music, cinema, literature but also politics, automobile and much more. It allows performing queries in an innovative way and helps you to navigate rich results. As a hub, it proposes redirections to others platforms to make you benefit from your discoveries (Youtube, Deezer and more). There are several recorded demos of Discovery Hub as well as an online public version (old version here).
ZONE-project provides a new, innovative way to follow news. At its core, the system is aggregating news items from various RSS feeds. Using the power of semantic web we are able to efficiently tag & annotate each news.Those tags are the basis of filters. Filters allow users to see only news that are relevant. For instance users can retrieve all news containing a tag, or on the contrary never see news containing specific tags. Basically it means that each user can create custom news feeds according to his interests. Though it may be tedious for John Doe to build its own filters, thus it will be possible to exchange filters with other users, or read specific news feeds built by other users. This will enable users to create news group feed focused on specific topics such as technology, heath, industry, transport, agriculture, communication, environment... No field can escape from the ZONE search and news feed mechanism!
Christophe is currently working full time on this project thanks to Inria. In fact this project won the BoostYourCode 2012 contest which was created in order to promote free & open source software.
Design and Implementation of a version of DBPedia for Wikipedia in french, French Ministry of Culture.
CrEDIBLE is a project funded by the MASTODONS (Défi Grandes Masses de Données Scientifiques) projects of the CNRS Mission Interdisciplinarité. It aims at studying the scientific locks when constructing systems sharing distributed and heterogeneous data in the domain medical imaging.
This new ANR project is starting in December 2012. The objective of OCKTOPUS is to increase the potential social and economic benefit of the large and quickly growing amounts of user-generated content, by transforming it into useful knowledge. We believe that it is possible to considerably improve upon existing generic Information Retrieval techniques by exploiting the specific structure of this content and of the online communities which produce it. Specifically, we will focus on a multi-disciplinary approach in order to address the problem of finding relevant answers to questions within forums and question-answer sites.
Development activity (ADT) with support from INRIA (2010-2012) on Semantic Graph Visualization providing the SemanticWebImport Gephi Plugin. The action focus is on coupling Corese and Gephi Open Graph Visualization Platform to provide a framework to query and visualize RDF data taking into account their schemas.
The Kolflow project (ANR project, 2011-2014) proposes to extend collective intelligence with smart agents relying on automated reasoning. Smart agents can significantly reduce the overhead of communities in the process of continuously building knowledge. Consequently, continuous knowledge building is much more effcient. Kolflow aims at building a social semantic space where humans collaborate with smart agents in order to produce knowledge understandable by humans and machines. Humans are able to understand the actions of smart agents. Smart agents are able to understand actions of humans. Kolflow targets the co-evolution of content and knowledge as the result of interactions of humans and machines.
DataLift (2010-2013) is an experimental research project funded by the ANR French national research agency. Its goal is to design a platform to publish and interlink datasets on the Web of data. Datalift will both publish datasets coming from a network of partners and data providers and propose a set of tools for easing the datasets publication process.
DataLift brings raw structured data coming from various formats (relational databases, CSV, XML, ...) to semantic data interlinked on the Web of Data.
Isicil (2009-2012) this three year project proposes to study and to experiment with the usage of new tools to assist corporate intelligence tasks. These tools rely on web 2.0 advanced interfaces (blog, wiki, social bookmarking) for interactions and on semantic web technologies for interoperability and information processing. For more information see the description of the ISICIL project or contact the project leader Fabien Gandon.