Semantic Approach for Al-Quran Knowledge Representation in Islamic Knowledge Management Framework

Using ontology data model to accurately represent Al-Quran knowledge using its inherent structure of Division (Juz), Chapter (Surah), and Verse (Ayah) should be done within the framework Islamic Knowledge Management (IKM). Data modelling neglecting IKM would result in inaccuracy irrelevant processing activities involving Al-Quran. Many current approaches utilizing conventional management methods such as taxonomy, hierarchy, or tree are limited sense that they only define concepts without relating it a theme defined from corpus knowledge. In case Al-Quran, classification themes background important provide structural explanation ensure results obtained searching function will an accurate appropriate meaning intended by The aims this paper is demonstrate construction elaborate method for representing retrieving relevance verses toward semantic-based approach. specification which prototype application was built on has been validated experts. evaluation test furthermore shows high precision functions done. With good level accuracy achieved test, hopeful new experience browsing readers. A capability efficiently performing search certainly improve their understanding contents.