SMILK, trait d'union entre langue naturelle et données sur le web

Cédric Lopez 1 Molka Dhouib 2, 3 Elena Cabrio 3 Catherine Faron Zucker 2, 3 Fabien Gandon 4, 3 Frédérique Segond 5
1 TEXTE - Exploration et exploitation de données textuelles
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
3 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : 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 to contribute to the improvement of text analysis and the annotation of textual content, and to support knowledge extraction. The evaluation focused on brand-related information retrieval in the field of cosmetics. This article describes each step of our approach: the creation of ProVoc, an ontology to describe products and brands; the automatic population of a knowledge base mainly based on ProVoc from heterogeneous textual resources; and the evaluation of an application which that takes the form of a browser plugin providing additional knowledge to users browsing the web.
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Cédric Lopez, Molka Dhouib, Elena Cabrio, Catherine Faron Zucker, Fabien Gandon, et al.. SMILK, trait d'union entre langue naturelle et données sur le web. Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2018, 32 (3), pp.287-312. ⟨10.3166/ria.32.287-312⟩. ⟨hal-01958480⟩

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