Semantic Matching of Web Services Capabilities
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
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 Software Framework for Matchmaking Based on Semantic Web Technology
International Journal of Electronic Commerce
Automatic location of services
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
METEOR-S web service annotation framework with machine learning classification
SWSWPC'04 Proceedings of the First international conference on Semantic Web Services and Web Process Composition
A heuristic approach to semantic web services classification
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
ADMI'10 Proceedings of the 6th international conference on Agents and data mining interaction
Collecting, annotating, and classifying public web services
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems - Volume Part I
A WSDL structure based approach for semantic categorization of web service elements
SETN'10 Proceedings of the 6th Hellenic conference on Artificial Intelligence: theories, models and applications
An ontology-based mechanism for automatic categorization of web services
Concurrency and Computation: Practice & Experience
Template-based matching algorithm for dynamic web services discovery
International Journal of Information and Communication Technology
Goal-based business service composition
Service Oriented Computing and Applications
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With the expectable growth of the number of Web services available on the WWW and service repositories, the need for mechanisms that enable the automatic organization and discovery of services becomes increasingly important. Service classification using standard or proprietary taxonomies is a common and simple facility in this context, complementarily to more sophisticated service management retrieval techniques. In this paper we propose a heuristic approach for the semi-automatic classification of Web services, based on a three-level matching procedure between services and classification categories, assuming a corpus of previously classified services is available. An experimental test of the proposed techniques is reported, showing positive results.