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Iskandar Ishak
Universiti Putra Malaysia
Computer Science & IT Electrical & Electronics Engineering

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MalayIK: An Ontological Approach to Knowledge Transformation in Malay Unstructured Documents Fatimah Sidi; Iskandar Ishak; Marzanah A. Jabar
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 1: February 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (420.047 KB) | DOI: 10.11591/ijece.v8i1.pp1-10

Abstract

The number of unstructured documents written in Malay language is enormously available on the web and intranets. However, unstructured documents cannot be queried in simple ways, hence the knowledge contained in such documents can neither be used by automatic systems nor could be understood easily and clearly by humans. This paper proposes a new approach to transform extracted knowledge in Malay unstructured document using ontology by identifying, organizing, and structuring the documents into an interrogative structured form. A Malay knowledge base, the MalayIK corpus is developed and used to test the MalayIK-Ontology against Ontos, an existing data extraction engine. The experimental results from MalayIK-Ontology have shown a significant improvement of knowledge extraction over Ontos implementation. This shows that clear knowledge organization and structuring concept is able to increase understanding, which leads to potential increase in sharable and reusable of concepts among the community.
Co-Authors Fatimah Sidi Marzanah A. Jabar