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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 | |
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Lectures Notes in Computer Science; 7526 |
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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 Extraction — Semantic Web — Linked Data | |
Identifiers | ISBN: 978-3-642-33346-0 | |
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Research group | Laboratoire d'Analyse et de Traitement du Langage (LATL) | |
Citation (ISO format) | 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 |