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Malay interrogative knowledge corpus


Sidi, Fatimah and A. Jabar, Marzanah and Selamat, Mohd Hasan and Abd Ghani, Abdul Azim and Sulaiman, Md. Nasir and Baharom, Salmi (2011) Malay interrogative knowledge corpus. American Journal of Economics and Business Administration, 3 (1). pp. 171-176. ISSN 1945-5488; ESSN: 1945-5496


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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Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.3844/ajebasp.2011.171.176
Publisher: Science Publications
Keywords: Interrogative theory; Knowledge identification; Knowledge corpus; Data Manipulation Language (DML); Malay documents; Interrogative knowledge; Knowledge-base system
Depositing User: Nabilah Mustapa
Date Deposited: 08 Jun 2016 08:32
Last Modified: 08 Jun 2016 08:32
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3844/ajebasp.2011.171.176
URI: http://psasir.upm.edu.my/id/eprint/22452
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