Ontology Matching in Context-driven Collaborative Recommending Systems

摘要

The paper proposes an approach to building a context-driven collaborative recommending system, and concentrates on the ontology matching algorithm and ontology alignment patterns. The designed collaborative recommendation system is based on application of such technologies as user and group profiling, context management, decision mining. It enables for self-organisation of user groups in accordance with changing user profiles and the current situation context. Utilizing of the developed ontology alignment patterns considerably accelerates the ontology fusion and matching processes due to typification of fusion and alignment schemes.