A Sophisticated Approach to Semantic Web Services Discovery

Web services have become a new paradigm of Web-based applications. As the number of available Web services has increased, finding a method for locating appropriate services has become an important issue. For this purpose, many works for semantic Web service discovery have been proposed. Since they lack a precise scheme for specifying and matching service advertisements and user requirements, semantic mismatches can occur in service discovery. This paper presents a sophisticated method of discovering Web services. The proposed method facilitates specifying semantics precisely and flexibly based on the proposed integrated concept model. Additionally, more sophisticated discovery is supported by computing many-to-many complex matching relationships between ontological concepts. Experimental results show that the proposed method performs more efficiently for various kinds of user requests, as compared to previous works.

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

[2]  T. Hasegawa,et al.  Web services lookup: a matchmaker experiment , 2005, IT Professional.

[3]  Takahiro Kawamura,et al.  Importing the Semantic Web in UDDI , 2002, WES.

[4]  Kurt Geihs,et al.  Ranked Matching for Service Descriptions Using OWL-S , 2004, KiVS.

[5]  Michael Winikoff,et al.  Exact functional context matching for web services , 2004, ICSOC '04.

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

[7]  Keng Siau,et al.  Supply Chains Integration: Architecture and Enabling Technologies , 2004, J. Comput. Inf. Syst..

[8]  Amit P. Sheth,et al.  METEOR-S WSDI: A Scalable P2P Infrastructure of Registries for Semantic Publication and Discovery of Web Services , 2005, Inf. Technol. Manag..

[9]  Dongsong Zhang Web Services Composition for Process Management in E-Business , 2005, J. Comput. Inf. Syst..

[10]  Amit P. Sheth,et al.  Semantic E-Workflow Composition , 2003, Journal of Intelligent Information Systems.

[11]  Prashant Doshi,et al.  A Method for Semantically Enhancing the Service Discovery Capabilities of UDDI , 2003, IIWeb.

[12]  Kyong-Ho Lee,et al.  Clustering of XML Schemas for Information Integration , 2005, J. Comput. Inf. Syst..

[13]  Katia P. Sycara,et al.  An Efficient Algorithm for OWL-S Based Semantic Search in UDDI , 2004, SWSWPC.

[14]  Jaymeen R. Shah,et al.  Effective Customer Relationship Management through Web Services , 2005, J. Comput. Inf. Syst..

[15]  Juhnyoung Lee,et al.  Integration and Composition of Web Service-Based Business Processes , 2003, J. Comput. Inf. Syst..