Importing the Semantic Web in UDDI
CAiSE '02/ WES '02 Revised Papers from the International Workshop on Web Services, E-Business, and the Semantic Web
Discovering and ranking web services with BASIL: a personalized approach with biased focus
Proceedings of the 2nd international conference on Service oriented computing
Service Pattern Discovery of Web Service Mining in Web Service Registry-Repository
ICEBE '06 Proceedings of the IEEE International Conference on e-Business Engineering
Similarity search for web services
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
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Web service discovery is an important issue for the construction of service based architectures and is also a prerequisite for service oriented applications. Nowadays, Data-intensive Web Service (DWS) is widely used by enterprises to provide worldwide data query services. Different from the existing service discovery approaches, in this work, we propose a service discovery mode for DWS which combines the characteristics of DWS with semantic similarity of services. The model, named as RVBDM, discovers services based on the return values of DWS. Some algorithms, such as Web service cache Update (WSCU) algorithm and Web Service Match (WSM) algorithm, are presented to implement the model. Experiments were conducted to verify the performance of our proposed approach