DocumentCode
2347440
Title
An ontological model for representing computational lexicons a componential based approach
Author
Al-Yahya, Maha ; Alkhalifa, H. ; Bahanshal, Alia ; Alodah, I. ; Al-Helwah, Nawal
Author_Institution
Inf. Technol. Dept., King Saud Univ., Riyadh, Saudi Arabia
fYear
2010
fDate
21-23 Aug. 2010
Firstpage
1
Lastpage
6
Abstract
In the last decades the computational linguistics community has developed important and widely used lexical resources. Although they are very popular among the Natural Language Processing (NLP) community, they do not address two important characteristics of language. The first is that the meaning of a word in a language is a collective effort defined by the people who use the language. The second is that language is a dynamic entity (some words change their meaning, others become obsolete, new words are born). A computational model which aims to represent this real world entity should be structured in a way that allows for expansion, facilitates collaboration, and provides transparent meaning representation. This paper addresses these two issues and provides a solution based on Semantic Web technologies. The solution is based on an ontological model for representing computational lexicons using the field theory of semantics and componential analysis. The model has been implemented on the “Time” semantic field vocabulary of the Arabic language and the results of a preliminary evaluation are presented.
Keywords
computational linguistics; natural language processing; ontologies (artificial intelligence); text analysis; componential based approach; computational lexicons; computational linguistics; natural language processing; ontological model; semantic Web technologies; Computational modeling; Humans; Ontologies; Pragmatics; Semantics; Syntactics; Vocabulary; Arabic Language; Lexicon; Ontology; Semantic Web;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Language Processing and Knowledge Engineering (NLP-KE), 2010 International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-6896-6
Type
conf
DOI
10.1109/NLPKE.2010.5587768
Filename
5587768
Link To Document