Membership Function Assignment for Elements of Single OWL Ontology
This work addresses a specific technical bottleneck in fuzzy rule generation for ontology-based expert systems, but it is incremental as it extends existing methods from multiple to single ontologies.
The paper tackles the problem of assigning membership functions to elements of a single OWL ontology to generate fuzzy rules, presenting a method for cases where only one ontology is available, unlike prior work that required merging multiple ontologies. This enables the supplementation of knowledge bases for Semantic Web Expert Systems (SWES), which aim to extract knowledge from web-based ontologies.
This paper develops the idea of membership function assignment for OWL (Web Ontology Language) ontology elements in order to subsequently generate fuzzy rules from this ontology. The task of membership function assignment for OWL ontology elements had already been partially described, but this concerned the case, when several OWL ontologies of the same domain were available, and they were merged into a single ontology. The purpose of this paper is to present the way of membership function assignment for OWL ontology elements in the case, when there is the only one available ontology. Fuzzy rules, generated from the OWL ontology, are necessary for supplement of the SWES (Semantic Web Expert System) knowledge base. SWES is an expert system, which will be able to extract knowledge from OWL ontologies, found in the Web, and will serve as a universal expert for the user.