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Authors: Nathalie Aussenac-Gilles and Mouna Kamel

Affiliation: Université Paul Sabatier de Toulouse, France

Keyword(s): Natural language processing for ontology learning, Extraction of semantic relations, Information extraction from structured documents.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Data Engineering ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Acquisition ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Natural Language Processing ; Ontologies and the Semantic Web ; Ontology Engineering ; Pattern Recognition ; Symbolic Systems

Abstract: Most existing methods for ontology learning from textual documents rely on natural language analysis. We extend these approaches by taking into account the document structure which bears additional knowledge. The documents that we deal with are XML specifications of databases. In addition to classical linguistic clues, the structural organization of such documents also contributes to convey meaning. In a first stage, we characterize the semantics of XML mark-up and of their relations. Then parsing rules are defined to exploit the XML structure of documents and to create ontology concepts and semantic relations. These rules make it possible to automatically learn a kernel of ontology from documents. In a second stage; this ontology is enriched with the results of text analysis by lexico-syntactic patterns. Both ontology learning rules and patterns are implemented in the Gate platform.

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Paper citation in several formats:
Aussenac-Gilles, N. and Kamel, M. (2009). ONTOLOGY LEARNING BY ANALYZING XML DOCUMENT STRUCTURE AND CONTENT. In Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2009) - KEOD; ISBN 978-989-674-012-2; ISSN 2184-3228, SciTePress, pages 159-165. DOI: 10.5220/0002293301590165

@conference{keod09,
author={Nathalie Aussenac{-}Gilles. and Mouna Kamel.},
title={ONTOLOGY LEARNING BY ANALYZING XML DOCUMENT STRUCTURE AND CONTENT},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2009) - KEOD},
year={2009},
pages={159-165},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002293301590165},
isbn={978-989-674-012-2},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2009) - KEOD
TI - ONTOLOGY LEARNING BY ANALYZING XML DOCUMENT STRUCTURE AND CONTENT
SN - 978-989-674-012-2
IS - 2184-3228
AU - Aussenac-Gilles, N.
AU - Kamel, M.
PY - 2009
SP - 159
EP - 165
DO - 10.5220/0002293301590165
PB - SciTePress

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