Modified Knowledge Inference Method Based on Fuzzy Ontology and Base of Cases

Abstract

The article presents a formal ontological model of the rule set and the inference algorithm based on the analysis of the state of a complex technical system (local area network). Also, this paper presents the results of the integration of rules with fuzzy ontology for assessing the state of a local computer network in the process of artificially increasing traffic. In addition, the possibility of modifying this algorithm by means of a parallel launch of the mechanism for analyzing cases in the process of knowledge inference is considered. In conclusion, experiments with the Fuzzy OWL applied ontology prototype and the Pellet inference engine are presented.