Computational ontologies for semantic tagging of the Quran:A survey of past approaches

Recent advances in Text Mining and Natural Language Processing have enabled the development of semantic analysis for religious text, available online for free. The availability of information is a key factor in knowledge acquisition. Sharing information is an important reason for developing an ontology. This paper reports on a survey of recent Qur’an ontology research projects, comparing them in 9 criteria. We conclude that most of the ontologies built for the Qur’an are incomplete and/or focused in a limited specific domain. There is no clear consensus on the semantic annotation format, technology to be used, or how to verify or validate the results.