A Feedback-Based Approach to Validate SWRL Rules for Developing Situation-Aware Software
Joonseok Park, Keunhyuk Yeom · 2013
Recently, the Web Ontology Language (OWL) and Semantic Web Rule Language (SWRL) have been widely used to construct situation-aware environments. However, incorrect situations can be inferred, and these decrease the quality of situation-aware services. SWRL rules are one of the main causes of incorrectly inferred situations. Therefore, in this paper, we propose an approach to validate SWRL rules by applying feedback, a key concept used in software cybernetics research. We propose a feedback-based approach that consists of preparation, structural analysis, contextual analysis, and SWRL rule adaptation. Using the proposed approach, we can systematically detect errors and adapt the SWRL rules accordingly. Furthermore, our method can be used as a base model to validate SWRL rules for situation-aware software.