SMILK, linking natural language and data from the web

SMILK, linking natural language and data from the web

Cédric Lopez Molka Tounsi Dhouib Elena Cabrio Catherine Faron Zucker Fabien Gandon Frédérique Segond  

Viseo Technologies R&D 4 avenue doyen Louis Weil, 38000 Grenoble, France

Université Côte d’Azur, Inria, CNRS, I3S Sophia Antipolis, France

Emvista – Montpellier, France

INALCO, ERTIM Paris, France

Corresponding Author Email: 
prenom.nom@inria.fr; prenom.nom@emvista.com; prenom.nom@inalco.fr
Page: 
287-312
|
DOI: 
https://doi.org/10.3166/RIA.32.287-312
Received: 
|
Accepted: 
|
Published: 
30 June 2018
| Citation

ACCESS

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.

Keywords: 

web of data, ontologies, natural language processing, linked data

1. Introduction
2. ProVoc, une ontologie pour décrire les produits sur le web
3. Peuplement d’une base de connaissances avec ProVoc
4. Application
5. Conclusion
Remerciements
  References

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