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,
Full text not available from this repository.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 |
Actions (login required)
View Item |