Question Answering Systems on Holy Quran: A Review of Existing Frameworks, Approaches, Algorithms and Research Issues

Abstract

Question Answering System has the ability to present an answer based on a question submitted by the user in natural languages. This system consists of question processing, document retrieval, and answer extraction component. Challenge to optimize Question Answering's system is to increase the performance of all components in the framework. The performance of all component which has not been optimized has caused to the lack of accurate answer from the systems. Based on this issue, the purpose of this research is to investigate the research gaps in the current state of existing Question Answering Systems on Holy Quran. The result of this study reveals potential research issues, namely morphology analysis, question classification, search techniques, and ontology resources.