Malay Interrogative Knowledge Corpus

Fatimah Sidi, Marzanah A. Jabar, Mohd Hasan Selamat, Abdul Azim Abdul Ghani, Md Nasir Sulaiman and Salmi Baharom

American Journal of Economics and Business Administration, 2011, vol. 3, issue 1, 171-176

Abstract: Problem statement: 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. Approach: This study uses interrogative theory to identify knowledge from documents or texts. Results: The results are expected to lead towards establishment of new set of interrogative rules for Malay corpus. Conclusions/Recommendations: 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 (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:abk:jajeba:ajebasp.2011.171.176

DOI: 10.3844/ajebasp.2011.171.176

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