Construction et enrichissement automatique d'ontologie \`a partir de ressources externes
Eric Kergosien (LIUPPA), Mouna Kamel (IRIT), Christian Sallaberry, (LIUPPA), Marie-No\"elle Bessagnet (LIUPPA), Nathalie Aussenac- Gilles, (IRIT), Mauro Gaio (LIUPPA)

TL;DR
This paper presents a method for automatically constructing and enriching ontologies by integrating document structure and external resources, such as domain-specific thesauri, demonstrated in a geographical domain.
Contribution
It introduces a novel approach that combines document structure and external resources for richer ontology construction, extending traditional text-based methods.
Findings
Enhanced ontology richness demonstrated in geographical domain
External resources improve the quality of ontology construction
Method shows promising results in domain-specific applications
Abstract
Automatic construction of ontologies from text is generally based on retrieving text content. For a much more rich ontology we extend these approaches by taking into account the document structure and some external resources (like thesaurus of indexing terms of near domain). In this paper we describe how these external resources are at first analyzed and then exploited. This method has been applied on a geographical domain and the benefit has been evaluated.
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Taxonomy
TopicsSemantic Web and Ontologies · Natural Language Processing Techniques · Information Retrieval and Search Behavior
