Exploiting service context for web service search engine
WAIM'10 Proceedings of the 11th international conference on Web-age information management
A novel local optimization method for QoS-aware web service composition
WISM'10 Proceedings of the 2010 international conference on Web information systems and mining
Using SOA governance design methodologies to augment enterprise service descriptions
CAiSE'11 Proceedings of the 23rd international conference on Advanced information systems engineering
A novel prediction approach for trustworthy QoS of web services
Expert Systems with Applications: An International Journal
Approach and impact of a protocol for selection of service in web service platform
ACM SIGSOFT Software Engineering Notes
A QoS-aware composition method supporting cross-platform service invocation in cloud environment
Journal of Computer and System Sciences
Content based service discovery in semantic web services using wordnet
ADCONS'11 Proceedings of the 2011 international conference on Advanced Computing, Networking and Security
An agent-based service composition framework
Proceedings of the 2011 Grand Challenges on Modeling and Simulation Conference
A personalised search approach for web service recommendation
International Journal of Ad Hoc and Ubiquitous Computing
Semantic content-based recommendation of software services using context
ACM Transactions on the Web (TWEB)
Context-sensitive Web service discovery over the bipartite graph model
Frontiers of Computer Science: Selected Publications from Chinese Universities
Future Generation Computer Systems
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In this work, we propose a two-step, context-based semantic approach to the problem of matching and ranking Web services for possible service composition. We present an analysis of different methods for classifying Web services for possible composition and supply a context-based semantic matching method for ranking these possibilities. Semantic understanding of Web services may provide added value by identifying new possibilities for compositions of services. The semantic matching ranking approach is unique since it provides the Web service designer with an explicit numeric estimation of the extent to which a possible composition “makes sense.” First, we analyze two common methods for text processing, TF/IDF and context analysis; and two types of service description, free text and WSDL. Second, we present a method for evaluating the proximity of services for possible compositions. Each Web service WSDL context descriptor is evaluated according to its proximity to other services' free text context descriptors. The methods were tested on a large repository of real-world Web services. The experimental results indicate that context analysis is more useful than TF/IDF. Furthermore, the method evaluating the proximity of the WSDL description to the textual description of other services provides high recall and precision results.