A Web Service Organization Method based on Cloud Cluster and Cloud Service Community

against the lower searching efficiency and lower precision existing in the web service discovery system, this paper puts forward a web service organization framework based on cloud service community. The community exists as a form of net built by the web services (nodes) and the cooperative relationships (edges) among them. And the web services can be replaced by others which has the same function but different quality. Thus the framework also clusters all of the services which have the similar function by similarity matching algorithm. Through the service selecting algorithm, the community can offer the best services that user required even the potential demanding ones. In addition, Experimental results show that the improved service organization framework can promote and precision ratio while the service discovery efficiency also be raised greatly.

[1]  Roy Rada,et al.  Development and application of a metric on semantic nets , 1989, IEEE Trans. Syst. Man Cybern..

[2]  Claire Fautsch,et al.  Adapting the tf idf vector-space model to domain specific information retrieval , 2010, SAC '10.

[3]  Schahram Dustdar,et al.  Web service clustering using multidimensional angles as proximity measures , 2009, TOIT.

[4]  Duan Shou-Jian,et al.  The Comprehensive Quantification Research of Semantic Similarity and Relevance Based on Domain Ontology , 2009 .

[5]  Hye-Young Paik,et al.  Toward self-organizing service communities , 2005, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[6]  Sun Ping.  Using Service Clustering to Facilitate Process-Oriented Semantic Web Service Discovery , 2008 .

[7]  Ping Sun,et al.  Using Service Clustering to Facilitate Process-Oriented Semantic Web Service Discovery: Using Service Clustering to Facilitate Process-Oriented Semantic Web Service Discovery , 2009 .

[8]  Kunal Verma,et al.  Constraint driven Web service composition in METEOR-S , 2004, IEEE International Conference onServices Computing, 2004. (SCC 2004). Proceedings. 2004.

[9]  Anne H. H. Ngu,et al.  QoS-aware middleware for Web services composition , 2004, IEEE Transactions on Software Engineering.

[10]  Li Qi.  Research on Chord-Based Semantic Web Service Discovery and Composition , 2010 .

[11]  Hu Chun.  An Approach to Constructing Web Service Workflow Based on Business Spanning Graph , 2007 .

[12]  Katia Sycara,et al.  Adding OWL-S to UDDI, implementation and throughput , 2004 .

[13]  Patrick Martin,et al.  Clustering WSDL Documents to Bootstrap the Discovery of Web Services , 2010, 2010 IEEE International Conference on Web Services.

[14]  Yihui He,et al.  A two-layered P2P model for semantic service discovery , 2010, 4th International Conference on New Trends in Information Science and Service Science.

[15]  James Snell,et al.  Introduction to Web services architecture , 2002, IBM Syst. J..

[16]  Takahiro Kawamura,et al.  Semantic Matching of Web Services Capabilities , 2002, SEMWEB.

[17]  Huang Gang,et al.  Consumer-Centric Service Aggregation:Method and Its Supporting Framework , 2007 .