Ontology-Based information extraction for french newspaper articles

Authors:
Kamel Nebhi
Affiliations:
LATL, Department of linguistics, University of Geneva, Switzerland
Venue:
KI'12 Proceedings of the 35th Annual German conference on Advances in Artificial Intelligence
Year:
2012

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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.