Object-Based Knowledge Representation of Female Related Issues from The Holy Quran

• Main Authors: Ku Mahamud, Ku Ruhana, Mohamed Din, Aniza, Che Pa, Noraziah, Ahmad, Faudziah, Wan Ishak, Wan Hussain, Kabir Ahmad, Farzana, Din, Roshidi
• Format: Article
• Language: English
• Published: Universiti Utara Malaysia Press 2014
• Subjects: QA75 Electronic computers. Computer science
• Online Access: https://repo.uum.edu.my/id/eprint/30414/1/JICT%2013%2000%202014%20145-161.pdf; https://repo.uum.edu.my/id/eprint/30414/; https://e-journal.uum.edu.my/index.php/jict/article/view/8152

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 difficult 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 identified. Through the terms, the name of surah, verses number and text from the verses are gathered. The texts are then analyzed and clustered into specific 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.