Leveraging semantic web technologies for standardized knowledge modeling and retrieval from the Holy Qur'an and religious texts

Abstract

In recent years, the desire to automate religious learning using the emerging technologies has led to a number of applications being introduced to ease the retrieval of knowledge from religious literature, especially the holy books. In this paper we investigate the need for developing knowledge-based, efficient and collaborative frameworks for retrieving knowledge from distributed knowledge sources, primarily related to the Holy Qur'an and associated scholarly texts (e.g. Books of Ahadith or Qur'anic Exegeses) to make the process of learning easy, comprehensive and effective. We propose a vision for leveraging the emergent role of Semantic Web technologies for providing efficient and flexible means of knowledge modeling, storage, publishing, reasoning and retrieval from distributed Qur'anic knowledge sources.