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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Conference papers
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https://hal.inria.fr/inria-00100764
Contributor : Laurent Romary <>
Submitted on : Tuesday, September 26, 2006 - 2:50:22 PM
Last modification on : Monday, April 8, 2019 - 10:24:04 AM

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  • HAL Id : inria-00100764, version 1

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Amalia Todirascu, Laurent Romary, Dalila Bekhouche. Vulcain - An Ontology-based Information Extraction System. Birger Andersson, Maria Bergholtz, Paul Johannesson. International Conference on Applications of Natural Language to information systems - NLDB'02, Jun 2002, Stockholm, Sweden, Springer Verlag, 2553, pp.64-75, 2002, Lecture Notes in Computer Science. 〈inria-00100764〉

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