Collaborative filtering technique for web service recommendation based on user-operation combination
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems - Volume Part I
A recommender system based on historical usage data for web service discovery
Service Oriented Computing and Applications
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The formation of Sematic Web Services (SWS) makes it possible to discover, implement and compose Web service automatically.OWL-S, the description language of Sematic Web Service, increases flexibility of Web service description, enriches expressiveness of it and provides a capability-based mechanism of Web service discovery. We introduce a automatic discovery algorithm of SWS in this paper. The property of Web service including Input, Output, Pre-condition and Effect is matched with user's requirement,and then we calculate matchmaking degree. We can also combine UDDI with this matchmaking in order to get better result of Web service discovery for users.