Information retrieval
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
IEEE Intelligent Systems
An Approach to support Web Service Classification and Annotation
EEE '05 Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05) on e-Technology, e-Commerce and e-Service
A snapshot of public web services
ACM SIGMOD Record
Behavioral matchmaking for service retrieval
ICWS '06 Proceedings of the IEEE International Conference on Web Services
Matching and Merging of Statecharts Specifications
ICSE '07 Proceedings of the 29th international conference on Software Engineering
Similarity search for web services
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Web Services Operation and Parameter Matchmaking Based on Free-Form User Queries
SERVICES-2 '08 Proceedings of the 2008 IEEE Congress on Services Part II
On the functional quality of service (FQoS) to discover and compose interoperable web services
Expert Systems with Applications: An International Journal
Semantic matchmaker with precondition and effect matching using SWRL
Expert Systems with Applications: An International Journal
WSMO-MX: A hybrid Semantic Web service matchmaker
Web Intelligence and Agent Systems
URBE: Web Service Retrieval Based on Similarity Evaluation
IEEE Transactions on Knowledge and Data Engineering
Improving Web Service descriptions for effective service discovery
Science of Computer Programming
Similarity Measures for Substituting Web Services
International Journal of Web Services Research
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Currently Internet is largely populated with Web services offered by different providers and published in various Web repositories. However, public available Web services still suffer from problems that have been widely discussed, such as the lack of functional semantics. This lack of semantics makes very difficult the automatic discovery and invocation of public Web services, even when the system integrator can obtain a copy of the WSDL file. This paper describes an ontological approach for discovering similarity relations between public Web services. The objective of this work is to extract relevant data that is coded into service descriptions, calculate similarity measures between them, represent discovered similarities in an ontological form, and execute inference. Experimental results show that the overall process towards the automation of public Web services discovery based on ontology population and structural similarity measures is feasible.