An ability of reasoning capability of inference engines a useful to derive new & useful information from existing knowledge-base. Classifying algorithms is use to classifying an ontology which improves quality of search on web. Currently Inference engines are able to classify the small ontology completely. For Large and complex version based ontology size is been increase
practically. The main aim of paper is necessary to evaluating the performance of inference engine which focus on classification parameter for large and complex version based ontology for
different domain. Result might be useful to select inference engine for practically on version based ontology for different domain.
View full paper: IJCSI_Classifying Problem in Inference Engine for Different Version Based Ontology