Advanced search in the Qur´an using semantic modeling

The Qur´an is the religious text of Islam, distinguished by its miraculous style, it is considered as the basic reference for all Islamic sciences, and therefore it´s very sensitive to model its content for fear to make bad assumptions and axioms. In recent years a number of researches has been done to facilitate the retrieval of knowledge from the Qur´an, but most of the available researches are using human readable data resources and therefore cannot be reused and linked using semantic web technologies, this is why in this project we will adopt an approach that enables humans and computers to understand the Qur´an knowledge throughout the creation of a Qur´anic ontology. The goal of the ontology is to build a computational model capable of representing as much as possible of the concepts mentioned on the Qur´an and the relationships between them using Protégé-OWL. The ontology can be queried using SPARQL queries, we also developed a search engine that will parse user´s questions by extracting and stemming the keywords, and then it generates SPARQL queries using the concepts defined by the ontology.