Information Mining from Muslim Scriptures

نویسندگان

  • Abdul Rauf Saeed
  • Syed Waqar Jaffry
چکیده

There are billions of believers of various religions in the world and Islam is the second largest religion having 1.6 billion followers. The primary written sources of religious beliefs and practices of Muslims are the Quran and the Hadith (saying and practices of their prophet Muhammad Peace Be Upon Him). Written text of the Quran and the Hadith books is of manageable size and hence state of the art text mining techniques can easily be applied on it. In this paper first a comprehensive review of existing applications offering various type of the Quran and the Hadith information retrieval is presented then a framework based on text mining techniques is proposed. Finally an application is developed to demonstrate the Quran and the Hadith information retrieval framework. This application is evaluated with the help of an end user assessment questionnaire. It is recorded that end users have observed salient advantages of the designed application.

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تاریخ انتشار 2013