Malay Interrogative Knowledge Corpus

• Main Authors: Fatimah Sidi, Marzanah A. Jabar, Mohd Hasan Selamat, Abdul Azim Abdul Ghani, Md Nasir Sulaiman, Salmi Baharom
• Format: Article in Journal/Newspaper
• Language: unknown
• Subjects: DML
• Online Access: https://thescipub.com/pdf/ajebasp.2011.171.176.pdf; https://thescipub.com/abstract/ajebasp.2011.171.176

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