A Knowledge-based System for Extracting Combined and Individual Quranic Recitations

The aim of this research is to create a web platform to facilitate the teaching and training of various Quranic recitations called "Qira'at" using the methods of combined Quranic recitations and individual Quranic recitations via speech/audio and writing text. To do so, this study propose an approach that extracts the ten minor combined-recitations according to Al-Shatibiyyah and Al-Durrah approaches, extracts the seven combined-recitations from Al-Shatibiyyah, and extracts the three combined-recitations from Al-Durrah. Moreover, this approach extracts the group of imams, the individual imams, the individual narrations, the variant methods and their modes of recitation from the ten major combined-recitations according to Al-Tayyibah approach; and is applied on the fourth verse of Chapter "Al-An'am", which contains one sub-verse. This study also mentions the statement and explanation of the principles and steady rules of each recitation and the unsteady rules by evidence shown from Al-Shatibiyyah, Al-Durrah and Al-Tayyibah approaches. This study is achieved using concepts from expert systems through the establishment of knowledge bases emanating from expert scholars in Quranic Qira'at, and an inference engine to extract the steps of the combined Quranic recitations and the steps of the individual Quranic recitations in text and audio media formats. A prototype of the proposed expert system is presented based on the collected knowledge base and the database. This research is precedent in demonstrating how far expert systems can be applied to the science of Quranic recitations