Chord: a scalable peer-to-peer lookup protocol for internet applications
IEEE/ACM Transactions on Networking (TON)
Semantic Matching of Web Services Capabilities
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Journal of Systems and Software
SGPS: a semantic scheme for web service similarity
Proceedings of the 18th international conference on World wide web
An Abstraction Framework for Service Composition in Event-Driven SOA Systems
ICWS '09 Proceedings of the 2009 IEEE International Conference on Web Services
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Structural and Role-Oriented Web Service Discovery with Taxonomies in OWL-S
IEEE Transactions on Knowledge and Data Engineering
Ontology-based methodology for e-service discovery
Information Systems
Task-based adaptation for ubiquitous computing
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
SAVEUS: SAving Victims in Earthquakes through Unified Systems
International Journal of Communication Networks and Distributed Systems
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The World Wide Web (WWW) has become a major platform for hosting, discovering, and composing web services. Web service clustering is a technique for efficiently facilitating web service discovery. Most web service clustering approaches are based on suitable semantic similarity distance measure and a threshold. Threshold selection is essentially difficult and often leads to unsatisfactory accuracy. In this paper we propose a taxonomic clustering algorithm for grouping functionally similar web services. We have tested the algorithm on both simulation based randomly generated test data and the standard OWL-S TC test data set. We have observed promising results both in terms of accuracy and performance.