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Qur'an, AL-Sunnah and Islamic traditional books are the rich resources for Muslims that used as the sole authoritative source of knowledge, wisdom and law. The challenge for computer scientists is to extract and represent these knowledge, wisdom and law in computer systems, this knowledge is directed or underlying, therefore, to build an intelligent systems which can answer any question with knowledge from Quran, Al-Sunnah and other Islamic books, special techniques for mining data must be used to deal with this issue, which can help society, both Muslim and non-Muslim, to understand and appreciate the Islamic religion, this paper attempts to understand how the new techniques in data mining can extract Islamic knowledge from its resources, and represent these knowledge in meaningful for the user. Moreover, this study concentrates on Hadith as knowledge resource, and proposes approach to classify Hadith to its categories using supervised learning classification. The finding of this study shows that there are several ways to extract knowledge from Hadith depending on the goal of the knowledge.
Date of Conference: 13-14 Dec. 2010