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Malay Interrogative Knowledge Corpus

Author(s): Fatimah Sidi | Marzanah A. Jabar | Mohd H. Selamat | Abdul A.A. Ghani | Md N. Sulaiman | Salmi Baharom

Journal: American Journal of Economics and Business Administration
ISSN 1945-5488

Volume: 3;
Issue: 1;
Start page: 171;
Date: 2011;
Original page

Keywords: Interrogative theory | knowledge identification | knowledge corpus | Data Manipulation Language (DML) | Malay documents | interrogative knowledge | knowledge-base system

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 (MalayIKCorpus). It facilitates to explicitly capture and make available Malay knowledge representation in a knowledge-base system.
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