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Ontology-Based Information Extraction for French Newspaper Articles

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KI 2012: Advances in Artificial Intelligence (KI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 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.

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Author information

Authors and Affiliations

  1. LATL, Department of linguistics, University of Geneva, Switzerland

    Kamel Nebhi

Authors
  1. Kamel Nebhi
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Editor information

Editors and Affiliations

  1. Institute of Artificial Intelligence, University of Ulm, 89069, Ulm, Germany

    Birte Glimm

  2. Saarland University and German Research Center for Artificial Intelligence (DFKI), Stuhlsatzenhausweg 3, 66123, Saarbrücken, Germany

    Antonio Krüger

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© 2012 Springer-Verlag Berlin Heidelberg

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Nebhi, K. (2012). Ontology-Based Information Extraction for French Newspaper Articles. In: Glimm, B., Krüger, A. (eds) KI 2012: Advances in Artificial Intelligence. KI 2012. Lecture Notes in Computer Science(), vol 7526. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33347-7_22

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  • DOI: https://doi.org/10.1007/978-3-642-33347-7_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33346-0

  • Online ISBN: 978-3-642-33347-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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