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Enhancing Semantic Metadata of Reliable Hadith with Automated Annotation

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In the past few years, a great attention has been paid for digitizing and indexing Islamic material resources, particularly Hadiths. Although many online libraries for hadiths have been developed, majority of the approaches for describing its contents and resources is traditional metadata with little support to enable semantic web and annotation. As the emergences of semantic web revenues very much benefits to the Internet users, this paper thus provides a brief review on the existing approaches, techniques and domain. The literature found a very limited numbers on semantic annotation for hadith. Therefore, this paper proposes an automated annotation approach to supports the semantic annotation of hadiths web documents. The foundation building blocks of the automated annotation is illustrated in a general conceptual framework.

Keywords: Automated Annotation; Natural Language Processing; Reliable Hadith; Semantic Web

Document Type: Research Article

Affiliations: Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Tapah Campus, 35400 Tapah Road, Perak, Malaysia

Publication date: October 1, 2016

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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