Retrieval Performance for Malay Quran

Information Retrieval (IR) plays an important role in retrieving information related to the user’s query. IR relies on finding relevant data from a set of knowledge resources, such as the Quran. Finding information from the Quran can be based on metadata, indexing, or other content-based methods. The Quran is the most widely read book in the world and automating knowledge retrieval from this religious book in general is very challenging. One of the challenging tasks is when the Quran has been translated into various languages around the world by Muslim experts, such as Malay. This has led to the development of a number of search applications in multiple languages, which can retrieve knowledge based on keywords. Retrieving the knowledge from the Quran using keywords has several fundamental problems. In many cases, the searching cannot retrieve the relevant concept or knowledge and verses. Therefore this research investigated the existing problems related to the study of Quran and studies the current search techniques used in research on the Quran, especially the Malay Quran. This research will help researchers understand and learn the current scenario of research on the Quran.