Constructing an Ontology-Based and Graph-Based Knowledge Representation of English Quran

Objectives: This paper describes work in constructing two models of knowledge representation in order to increase the performance of retrieving information on English Quran domain. Due to many approaches available to construct knowledge representation, this paper only focused on ontology-based and graph database-based knowledge representation. Methods: Quranic Arabic Corpus that available at http://www.corpus.quran.com is used as a source to build the knowledge representation. This paper extracted several data from it which include English token, token location, and token Part Of Speech (POS). Protégé is used to construct the ontology and Neo4j is utilized in developing the graph database. Findings: This paper has presented a construction process of two models of Knowledge Representation(KR)which are ontology and graph database based KR. These models will be used in developing of an English Quran question answering system in order to discover which model exhibit the best achievement in increasing question answering system performance. Improvements/Applications: The authors hope there will be useful information gained from the question answering system experiments when using both of those models.