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Ontology can be seen as a formal representation of knowledge. They have beeninvestigated in many artificial intelligence studies including semantic web,software engineering, and information retrieval. The aim of ontology is todevelop knowledge representations that can be shared and reused. This researchproject is concerned with the use of association rules to extract the Quranontology. The manual acquisition of ontologies from Quran verses can be verycostly; therefore, we need an intelligent system for Quran ontologyconstruction using patternbased schemes and associations rules to discoverQuran concepts and semantics relations from Quran verses. Our system is basedon the combination of statistics and linguistics methods to extract conceptsand conceptual relations from Quran. In particular, a linguistic pattern-basedapproach is exploited to extract specific concepts from the Quran, while theconceptual relations are found based on association rules technique. The Quranontology will offer a new and powerful representation of Quran knowledge, andthe association rules will help to represent the relations between all classesof connected concepts in the Quran ontology.

Quran Intelligent Ontology Construction Approach Using Association Rules Mining