Research directions and leaders

Full-time researchers of Wimmics are in charge of different but complementary directions:

Poster gallery

Here is an overview of our research through al gallery of posters produced in the team:

Data and Schemas

published by Wimmics


  • NiceTag: an OWL ontology to represent social tagging acts

  • SemSNA: an RDFS schema to support semantic social network analysis

  • EmOCA: ontology for emotion detection by reasonning on contextual data.

Wimmics Proposal

Proposal for the Wimmics Team.
The other intermediate versions are due to internal team revisions.



Corese stands for Conceptual Resource Search Engine. It is a Semantic Web Factory that enables the processing of RDFS, RDF, SPARQL and RDF Rules. KGRAM is a new generic SPARQL 1.1 interpreter that can process labelled graphs in addition to RDF.

contact: olivier.corby at


Bilateral collaborations

  • 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)



  • 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 G. Berger, Saint-Louis, Senegal: Semantic and Social Web Platform for Communities Knowledge Sharing, (accepted AUF project 2011-2013)

Unifying thread: “in touch with the web”

There is one unifying thread to all the research challenges proposed for Wimmics: the study of relations on the web. Relations between people, resources or services on the web provide a very rich source of knowledge from both the graph structure they weave and the trends of their evolutions. Relations on the web are at the heart of many powerful algorithms (e.g. PageRank), models (e.g. RDF graphs) and protocols (e.g. Open Graph Protocol). For this reason we believe that modeling, capturing and analyzing relations is a fertile research area.

Family of scenarios: assisting web-supported epistemic communities

Behind these questions is a constantly used and reused data structure: typed graphs. In this web context, typed graphs capture: social networks with the kinds of relationships and the descriptions of the persons; compositions of web services with types of inputs and outputs; links between documents with their genre and topics; hierarchies of classes, thesauri, ontologies and folksonomies; recorded traces and suggested navigation courses; submitted queries and detected frequent patterns; timelines and workflows; etc.