activity
20132019
most citedSMILK, linking natural language and data from the web

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DB2019

Graph Data on the Web: extend the pivot, don't reinvent the wheel

Fabien Gandon, Franck Michel, Olivier Corby +5

This article is a collective position paper from the Wimmics research team, expressing our vision of how Web graph data technologies should evolve in the future in order to ensure…

cs.IR2018★ 2 cited

SMILK, linking natural language and data from the web

Cédric Lopez, Molka Dhouib, Elena Cabrio +3

As part of the SMILK Joint Lab, we studied the use of Natural Language Processing to: (1) enrich knowledge bases and link data on the web, and conversely (2) use this linked data t…

cs.AI2014

Challenges in Bridging Social Semantics and Formal Semantics on the Web

Fabien Lucien Gandon, Michel Buffa, Elena Cabrio +7

This paper describes several results of Wimmics, a research lab which names stands for: web-instrumented man-machine interactions, communities, and semantics. The approaches introd…

cs.CL2013

Towards a Semantic-based Approach for Modeling Regulatory Documents in Building Industry

Khalil Riad Bouzidi, Catherine Faron-Zucker, Bruno Fies +2

Regulations in the Building Industry are becoming increasingly complex and involve more than one technical area. They cover products, components and project implementation. They al…

cs.IR2013★ 1 cited

An Ontology for Modelling and Supporting the Process of Authoring Technical Assessments

Khalil Riad Bouzidi, Bruno Fies, Marc Bourdeau +2

In this paper, we present a semantic web approach for modelling the process of creating new technical and regulatory documents related to the Building sector. This industry, among…