Foundations of statistical natural language processing
Foundations of statistical natural language processing
Introduction to the special issue on the web as corpus
Computational Linguistics - Special issue on web as corpus
Distribution of content words and phrases in text and language modelling
Natural Language Engineering
Automated semantic web service discovery with OWLS-MX
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
The Google Similarity Distance
IEEE Transactions on Knowledge and Data Engineering
Tree-Traversing Ant Algorithm for term clustering based on featureless similarities
Data Mining and Knowledge Discovery
Investigating web services on the world wide web
Proceedings of the 17th international conference on World Wide Web
Discovering homogenous service communities through web service clustering
SOCASE'08 Proceedings of the 2008 AAMAS international conference on Service-oriented computing: agents, semantics, and engineering
Contemporary web service discovery mechanisms
Journal of Web Engineering
From DPS to MAS to ...: continuing the trends
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
WTCluster: utilizing tags for web services clustering
ICSOC'11 Proceedings of the 9th international conference on Service-Oriented Computing
Titan: a system for effective web service discovery
Proceedings of the 21st international conference companion on World Wide Web
Biologically-inspired clustering of semantic Web services. Birds or ants intelligence?
Concurrency and Computation: Practice & Experience
International Journal of Web Engineering and Technology
Efficient web service discovery using hierarchical clustering
AT'13 Proceedings of the Second international conference on Agreement Technologies
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The idea of a decentralised, self-organising service-oriented architecture seems to be more and more plausible than the traditional registry-based ones in view of the success of the web and the reluctance in taking up web service technologies. Automatically clustering Web Service Description Language (WSDL) files on the web into functionally similar homogeneous service groups can be seen as a bootstrapping step for creating a service search engine and, at the same time, reducing the search space for service discovery. This paper proposes techniques to automatically gather, discover and integrate features related to a set of WSDL files and cluster them into naturally occurring service groups. Despite the lack of a common platform for assessing the performance of web service cluster discovery, our initial experiments using real-world WSDL files demonstrated the great potential of the proposed techniques.