AJEBA Cover
Frequency: Continuous
ISSN: 1945-5488 (Print)
ISSN: 1945-5496 (Online)
Research Article Open Access

Malay Interrogative Knowledge Corpus

Fatimah Sidi1, Marzanah A. Jabar1, Mohd Hasan Selamat1, Abdul Azim Abdul Ghani1, Md Nasir Sulaiman1 and Salmi Baharom1
  • 1 University Putra Malaysia, Malaysia

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.

American Journal of Economics and Business Administration
Volume 3 No. 1, 2011, 171-176

DOI: https://doi.org/10.3844/ajebasp.2011.171.176

Submitted On: 19 August 2009 Published On: 31 January 2011

How to Cite: Sidi, F., Jabar, M. A., Selamat, M. H., Ghani, A. A. A., Sulaiman, M. N. & Baharom, S. (2011). Malay Interrogative Knowledge Corpus. American Journal of Economics and Business Administration, 3(1), 171-176. https://doi.org/10.3844/ajebasp.2011.171.176

Open AccessCopyright: © 2011 Fatimah Sidi, Marzanah A. Jabar, Mohd Hasan Selamat, Abdul Azim Abdul Ghani, Md Nasir Sulaiman and Salmi Baharom. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

  • 4,429 Views
  • 3,666 Downloads
  • 1 Citations

Download

Keywords

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