A Heuristic Algorithm Based on Iteration for Semantic Telecommunications Service Discovery
WISM '09 Proceedings of the International Conference on Web Information Systems and Mining
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
WS-Finder: a framework for similarity search of web services
ICSOC'12 Proceedings of the 10th international conference on Service-Oriented Computing
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With an ever-increasing number of Web services being available, finding desired Web service is crucial for service users. Current keyword search and most existing approaches are inefficient in two main aspects: poor scalability and lack of semantics. Firstly, users are overwhelmed by the huge number of irrelevant services returned. Secondly, the intentions of users and the semantics in Web services are ignored. Inspired by the success of the Divide and Conquer approach used to handle the complex information decomposition, we use a novel approach to partition a large set of search results into a set of smaller groups by employing a clustering approach. Then we utilize Singular Value Decomposition (SVD) to capture the main semantics hidden behind the words in a query and the descriptions in the services, so that service matching can be carried out at the concept level. We report here on the preliminary experimental evaluation that shows improvements overall precision.