Methodology of Ontology Extraction for Islamic Knowledge Text

摘要: ABSTRAK Ontology plays an essential role in the formalization of information for effective human-computer interactions. However, engineering domain ontologies turns out to be very labor intensive and time consuming. Recently, some machine learning methods have been proposed automatic discovery ontologies. Nevertheless, accuracy computational efficiency existing need improved support large scale ontology construction realworld applications. This paper illustrates extraction based on fuzzy-swarm algorithm Islamic knowledge (IK) text. By combining lexico-syntactic statistical methods, process is improved. Empirical studies confirmed that method can discover high quality fuzzy which leads significant improvement retrieval performance.