Template-Type: ReDIF-Article 1.0
Author-Name: Fatimah Sidi
Author-Name: Marzanah A. Jabar
Author-Name: Mohd Hasan Selamat
Author-Name: Abdul Azim Abdul Ghani
Author-Name: Md Nasir Sulaiman
Author-Name: Salmi Baharom
Title:  Malay Interrogative Knowledge Corpus
Abstract:  <b>Problem statement:</b> The growth in the number of documents written in Malay language is enormously available on the web and intranets. There is a need to identify the information in the Malay documents that contain knowledge. This triggers the need to investigate the availability of knowledge in them. <b>Approach:</b> This study uses interrogative theory to identify knowledge from documents or texts.<b> Results: </b>The results are expected to lead towards establishment of new set of interrogative rules for Malay corpus. <b>Conclusions/Recommendations:</b> This study contributes the interrogative knowledge identification thru the development of Malay Interrogative Knowledge Corpus (MalayIK-Corpus). It facilitates to explicitly capture and make available Malay knowledge representation in a knowledge-base system.
Keywords: Interrogative theory, knowledge identification, knowledge corpus, Data Manipulation Language (DML), Malay documents, interrogative knowledge, knowledge-base system
Journal: American Journal of Economics and Business Administration
Pages: 171-176
Volume: 3
Issue: 1
Year: 2011
Month: January
DOI: 10.3844/ajebasp.2011.171.176
File-URL: https://thescipub.com/pdf/ajebasp.2011.171.176.pdf
File-Format: Application/pdf
File-URL: https://thescipub.com/abstract/ajebasp.2011.171.176
File-Format: text/html
Handle: RePEc:abk:jajeba:ajebasp.2011.171.176