Development of Domain Problem Ontology Based on Model Clustering Algorithm
Bing Li · Journal of Chinese Computer Systems · 2013
Domain goal models among domain asserts are clustered based on semantic similarity calculation firstly,and then domain role models,domain process models,domain service models are clustered also according to the relationships among them.By this way,one domain is divided several domain problem and among every domain problem,there exist a large number of domain models which have certain related function.At last,domain problem Ontology is developed by way of extracting the basic information of domain models among each domain problem.Thus all domain models are classified based their functions.All of these lay a solid foundation for organizing and managing domain models effectively by domain problem Ontology and are beneficial to provide more convenient for developing service-oriented application systems in the Cloud computing environment.