A Self-Feedback Methodology of Domain Ontology Modeling

Abstract

Ontology has played more and more important roles in the computer science fields. However, there is no unified and effective method for ontology modeling until now. This paper presents a novel method for domain ontology modeling. Firstly, all kinds of ontology models are translated into ontology model described in Description Logics (DLs). Subsequently, erroneous information is fed back through reasoning on ontology in DLs. Finally, developers can amend ontology according to the feedback information. This process is repeated until the inconsistency of ontology is eliminated. Consequently, the above-mentioned methodology improves the accuracy and efficiency of domain ontology modeling. A concrete instance evidently demonstrates the effectiveness of research.