Automatically converting and enriching a computational lexicon Ontology for NLP semantic tasks

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/6234
Información del item - Informació de l'item - Item information
Title: Automatically converting and enriching a computational lexicon Ontology for NLP semantic tasks
Authors: Toral Ruiz, Antonio | Monachini, Monica | Muñoz, Rafael
Research Group/s: Procesamiento del Lenguaje y Sistemas de Información
Center, Department or Service: Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos
Keywords: Adquisición automática | Ontologías
Knowledge Area: Procesamiento del Lenguaje | Lenguajes y Sistemas Informáticos
Date Created: 2007
Issue Date: 2007
Publisher: Wydawnictwo Poznańskie | Fundacja Uniwersytetu im. A. Mickiewicza
Citation: TORAL RUIZ, Antonio; MONACHINI, Monica; MUÑOZ GUILLENA, Rafael. "Automatically converting and enriching a computational lexicon Ontology for NLP semantic tasks". En: Human Language Technologies as a Challenge for Computer Science and Linguistics : proceedings of 3rd Language & Technology Conference, October 5-7, 2007, Poznań, Poland / Zygmunt Vetulani (ed.). Poznań : Wydawnictwo Poznańskie ; Fundacja Uniwersytetu im. A. Mickiewicza, 2007. ISBN 978-83-7177-407-2
Abstract: This paper describes the automatic transformation of a Generative Lexicon (GL) based Ontology into OWL, the Semantic Web ontology language. Furthermore, the OWL ontology is automatically enriched by means of a bottom-up procedure that extracts additional semantic information (relationships, features, predicates and quantifier restrictions) from the lexicon. The contribution of this research is two-fold. On one hand, we introduce a methodology for the formalisation of GL ontologies. On the other, we have developed automatic procedures that bring out a formalised, reasoning-capable, and semantically rich ontology, thus suitable for Natural Language Processing semantic tasks.
URI: http://hdl.handle.net/10045/6234
ISBN: 978-83-7177-407-2
Language: eng
Type: info:eu-repo/semantics/article
Peer Review: si
Appears in Collections:INV - GPLSI - Comunicaciones a Congresos, Conferencias, etc.

Files in This Item:
Files in This Item:
File Description SizeFormat 
Thumbnailltc-76-toral.pdf111,58 kBAdobe PDFOpen Preview


Items in RUA are protected by copyright, with all rights reserved, unless otherwise indicated.