Reducing Semantic Bias of Annotations for Semantic Web Service Discovery
Semantic web service discovery is very important in the whole semantic web service life cycle.Most of the current discovery methods are based on the stateless matching of declarative data semantics of service input and output parameters.The parameters of different web services which are annotated with the same concepts may represent instances with different semantics in the real world,i.e., there exists semantic bias between the semantics of concept and the semantics of the annotated parameter.This kind of bias seriously affects the discovery effectiveness.This paper proposes a method to reduce the semantic bias of annotations by adding some restrictions that are dynamically extracted from annotated context, and the resulting annotations are represented by the refined concept expressions.A novel semantic similarity measure for concept expressions is also proposed.Experimental results show that reducing the semantic bias dynamically can enrich the semantic web services and also improve the discovery effectiveness.In addition to its high effectiveness, the novel semantic matchmaker also shows its low computational complexity,which means it is suitable for practical application.
Dengping Wei Ting Wang Jintao Tang Ji Wang
School of Computer National University of Defense Technology Changsha,Hunan,410073,P.R.China National Laboratory for Parallel and Distributed Processing,Changsha,Hunan,410073,P.R.China
国际会议
南京
英文
1-12
2009-08-29（万方平台首次上网日期，不代表论文的发表时间）