The automatic processing of natural languages knew a remarkable growth in terms of techniques, methods and the variety of its potential applications. For instance, to automatize the processing of the Arabic language with its particular features, we selected the holy Quran as a study case. The latter has represented a challenge for the artificial intelligence. The main objective of the present paper is to design the semantic search engine for the text of the Quran using Quranic ontology. To determine the semantic fields of the words of the holy Quran, the Quranic ontology was developed, that presents the meaning of words and their relations. This method is used for each concept in order to enrich the query.
Beirade, F., Azzoune, H., & Zegour, D. E. (2019). Semantic query for Quranic ontology. Journal of King Saud University - Computer and Information Sciences. https://doi.org/10.1016/j.jksuci.2019.04.005