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English

Ontology-Based Information Extraction for French Newspaper Articles

ContributorsNebhi, Kamel
Presented atSaarbrücken (Germany), 24-27 September 2012
Published inGlimm, B. & Krüger, A. (Ed.), KI 2012 35th German Conference on Artificial Intelligence, p. 237-240
PublisherBerlin : Springer
Collection
  • Lecture Notes in Computer Science; 7526
Publication date2012
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
Citation (ISO format)
NEBHI, Kamel. Ontology-Based Information Extraction for French Newspaper Articles. In: KI 2012 35th German Conference on Artificial Intelligence. Glimm, B. & Krüger, A. (Ed.). Saarbrücken (Germany). Berlin : Springer, 2012. p. 237–240. (Lecture Notes in Computer Science) doi: 10.1007/978-3-642-33347-7_22
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Identifiers
ISBN978-3-642-33346-0
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Creation16/11/2012 16:34:00
First validation16/11/2012 16:34:00
Update28/01/2026 15:41:10
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