Proceedings chapter (Published version) (138 Kb) - 
Free access
Highlights
More informations
Chapitre d'actes
unige:24065 
 |
Ontology-Based Information Extraction for French Newspaper Articles |
|
| Author | ||
| 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 Extraction — Semantic Web — Linked Data | |
| Identifiers | ISBN: 978-3-642-33346-0 | |
| Full text | ||
| Structures | ||
| 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 |
407 hits 
398 downloads 
Contact an author
Update