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Vulcain - An Ontology-based Information Extraction System

Amalia Todirascu 1 Laurent Romary 1 Dalila Bekhouche
1 LANGUE ET DIALOGUE - Human-machine dialogue with a significant language component
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This paper presents an information extraction system, Vulcain, dedicated to message filtering for a specific domain. The paper focuses on a method for identifying domain-specific terms and concepts, using syntactic information and an existing domain ontology. We present a method for identifying terms by partial syntactic analysis, based on TAG grammars. The domain ontology is represented in description logics, using its inference mechanisms to validate the candidate concepts.
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Contributor : Laurent Romary Connect in order to contact the contributor
Submitted on : Tuesday, September 26, 2006 - 2:50:22 PM
Last modification on : Thursday, October 28, 2021 - 9:42:01 AM


  • HAL Id : inria-00100764, version 1



Amalia Todirascu, Laurent Romary, Dalila Bekhouche. Vulcain - An Ontology-based Information Extraction System. International Conference on Applications of Natural Language to information systems - NLDB'02, DSV, Information Technology University, Jun 2002, Stockholm, Sweden, pp.64-75. ⟨inria-00100764⟩



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