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Title

Ontology-Based Information Extraction for French Newspaper Articles

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Published in Glimm, B. & Krüger, A. KI 2012 35th German Conference on Artificial Intelligence. Saarbrücken (Germany) - 24-27 September 2012 - Berlin: Springer. 2012, p. 237-240
Collection Lectures Notes in Computer Science; 7526
Abstract In this paper, we describe a rule-based approach to perform automated semantic annotation of named entities in a corpus of newspaper articles. The originality of our system is in the fact that it establishes a connection between the French named entity, the DBpedia ontology and the DBpedia databank. We present our system, discuss its architecture and report the first evaluation results.
Keywords Ontology-based Information ExtractionSemantic WebLinked Data
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ISBN: 978-3-642-33346-0
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Research group Laboratoire d'Analyse et de Traitement du Langage (LATL)
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NEBHI, Kamel. Ontology-Based Information Extraction for French Newspaper Articles. In: Glimm, B. & Krüger, A. (Ed.). KI 2012 35th German Conference on Artificial Intelligence. Saarbrücken (Germany). Berlin : Springer, 2012. p. 237-240. (Lectures Notes in Computer Science; 7526) https://archive-ouverte.unige.ch/unige:24065

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Deposited on : 2012-11-19

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