Personalized Knowledge Services Based on User Context and Ontology

Knowledge services can help users find or form solutions to some problems. But it is very difficult to perform knowledge discovery in distributed heterogeneous data. The paper proposed a personalized knowledge services system based on user context and ontology. Firstly, a user model is formally described by ontology knowledge according to user context. Then knowledge extracted by data mining in distributed data resources is provided to user according to user´s knowledge needs. The method can enhance the efficiency and accuracy of distributed data mining and provide users with the knowledge to meet their needs.