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      OBJECT-BASED KNOWLEDGE REPRESENTATION OF FEMALE RELATED ISSUES FROM THE HOLY QURAN

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          Abstract

          Focusing on the use of Semantic Network and Conceptual Graph (CG) representations, this paper presents an easy way in understanding concepts discussed in the Holy Quran. Quran is known as the main source of knowledge and has been a major source reference for all types of problems. However understanding the issues and the solution from the Quran is diffi cult due to lack of understanding of Quran literature. Meticulously, the Quran contains much important information related to female. However, this information are scattered and complexly linked. Technically, to extract and present the encapsulated knowledge on female matters in the Quran is a challenging task. Thus, this paper discusses on how to understand and represent the knowledge in an easy way. A total of 18 female terms are identifi ed. Through the terms, the name of surah, verses number and text from the verses are gathered. The texts are then analyzed and clustered into specifi c issues. Result of the analysis that consists of extracted knowledge on female issues is presented in a systematic structure using Semantic Network and CG. The strength and advantages of both approaches are compared, discussed and presented.  

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          Author and article information

          Contributors
          Malaysia
          Malaysia
          Malaysia
          Malaysia
          Malaysia
          Malaysia
          Malaysia
          Journal
          Journal of Information and Communication Technology
          UUM Press
          February 19 2014
          : 13
          : 145-161
          Affiliations
          [1 ]School of Computing, Universiti Utara Malaysia, Malaysia
          Article
          10.32890/jict.13.2014.8152
          cac09a7e-1b74-4b3d-98e4-4e2b0b12de7b

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          History

          Communication networks,Applied computer science,Computer science,Information systems & theory,Networking & Internet architecture,Artificial intelligence

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