Lexical database for multiple languages: Multilingual Word Semantic Network

Yong, K.K. and Mahmud, Rohana and Woo, Chaw Seng (2011) Lexical database for multiple languages: Multilingual Word Semantic Network. International Journal of Computer and Information Engineering, 5 (8). pp. 819-824. ISSN 2010-3921,

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Official URL: https://publications.waset.org/1227/pdf

Abstract

Data mining and knowledge engineering have become a tough task due to the availability of large amount of data in the web nowadays. Validity and reliability of data also become a main debate in knowledge acquisition. Besides, acquiring knowledge from different languages has become another concern. There are many language translators and corpora developed but the function of these translators and corpora are usually limited to certain languages and domains. Furthermore, search results from engines with traditional 'keyword' approach are no longer satisfying. More intelligent knowledge engineering agents are needed. To address to these problems, a system known as Multilingual Word Semantic Network is proposed. This system adapted semantic network to organize words according to concepts and relations. The system also uses open source as the development philosophy to enable the native language speakers and experts to contribute their knowledge to the system. The contributed words are then defined and linked using lexical and semantic relations. Thus, related words and derivatives can be identified and linked. From the outcome of the system implementation, it contributes to the development of semantic web and knowledge engineering.

Item Type: Article
Funders: UNSPECIFIED
Uncontrolled Keywords: Multilingual; semantic network; intelligent knowledge engineering
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science & Information Technology > Department of Artificial Intelligence
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 18 Nov 2019 02:04
Last Modified: 18 Nov 2019 02:04
URI: http://eprints.um.edu.my/id/eprint/23039

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