This paper presents on-going research to formalise the ontology of a computational lexicon in OWL (W3C standard) as well as to enrich it by applying a bottom-up approach that extracts semantic information from the lexicon. The resource used follows the Generative Lexicon (GL) theory and therefore (1) puts a challenge to ontology design as its semantic types are multidimensional and (2) enables the acquisition of further knowledge on concepts from semantic units. The formalisation allows the ontology to be processed by Description Logics reasoners as well as to be employed in Semantic Web applications. Moreover, the lexicon-driven enrichment increases the semantic information present in the ontology making it appropriate for ontology-driven Natural Language Processing. Finally, the paper studies the application of these procedures to a subsequent GL-based biological resource.

Formalising and bottom-up enriching the ontology of a Generative Lexicon

Monachini M
2007

Abstract

This paper presents on-going research to formalise the ontology of a computational lexicon in OWL (W3C standard) as well as to enrich it by applying a bottom-up approach that extracts semantic information from the lexicon. The resource used follows the Generative Lexicon (GL) theory and therefore (1) puts a challenge to ontology design as its semantic types are multidimensional and (2) enables the acquisition of further knowledge on concepts from semantic units. The formalisation allows the ontology to be processed by Description Logics reasoners as well as to be employed in Semantic Web applications. Moreover, the lexicon-driven enrichment increases the semantic information present in the ontology making it appropriate for ontology-driven Natural Language Processing. Finally, the paper studies the application of these procedures to a subsequent GL-based biological resource.
2007
Istituto di linguistica computazionale "Antonio Zampolli" - ILC
Inglese
G. Angelova, K. Bontcheva, R. Mitkov, Nicolas Nicolov & Nikolai Nicolov (Eds)
RANLP-2007 - International Conference on Recent Advances in Natural Language Processing
599
603
978-954-91743-7-3
INCOMA Ltd.
Shoumen
BULGARIA
Sì, ma tipo non specificato
27-29 September 2007
Borovets, Bulgaria
Ontologies
Generative Lexicon
Qualia Structure
Semantic Web
1
none
Toral A.; Monachini M.
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/65062
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