Cooperative Domain Ontology Reduction Based on Power Sets

Abstract

Ontology is widely used in the areas of knowledge engineering, web-based data mining, and others. The process of developing and evolving inter-organizational domain ontologies is easy to get much redundant information. PowerSets can be used to reduce the attributes of ontologies. In this paper, "Rule Finding Uniqueness," RFU is proposed for learning a set of rules in order to refine an ontology. The algorithm's primary goal is to generate unique rules that not only cover the initial set but also enhance reasoning. The claimed technique compresses Ontologies after it is already built or during the evolving process of the inter-organizational cooperative domain ontology. The proposed method can also be used to strengthen automatic and semi-automatic operations to develop and evolve ontologies. We can consider this approach as a maintenance operation that could be done periodically based on the ontology evolution frequency rate.