Ontology-Based Approach for Knowledge Retrieval in Al-Quran Holy Book
Journal: International Journal of Computational Engineering Research(IJCER) (Vol.6, No. 3)Publication Date: 2015-03-31
Authors : Azman Ta'a; Qusay Abdullah Abed; Bashah Mat Ali; Muhammad Ahmad;
Page : 08-15
Keywords : Knowledge Retrieval; Knowledge Representation; Ontology; Semantic Web; RDF/OWL Framework; Holy Book; Al-Quran;
Abstract
Knowledge of Al-Quran is gathered through the interpretation of Division (Juz), Chapter (Surah), and Verse (Ayah) from the representation of ontology structure. It requires a searching method, which can find true knowledge of Al-Quran. However, current searching approaches in Al-Quran ontology face several fundamental problems, such as irrelevant and inaccuracy for producing true concepts and verses of knowledge. Moreover, current approaches used conventional methods such as taxonomy, hierarchy, or tree structure, which only define the concepts of knowledge without linking to a relevant theme of knowledge. The themes of background knowledge are important to provide another possibility of knowledge explanation and to ensure the results from the searching were selected the true meaning of AlQuran knowledge. Therefore, the main aims of this paper are to demonstrate the searching method for retrieving the relevant and accurate verses in Al-Quran by using ontology approach.
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