Caching web services in mobile ad-hoc networks: opportunities and challenges
Proceedings of the second ACM international workshop on Principles of mobile computing
A model for web services discovery with QoS
ACM SIGecom Exchanges
Software Clustering based on Information Loss Minimization
WCRE '03 Proceedings of the 10th Working Conference on Reverse Engineering
Service -Oriented Computing: Concepts, Characteristics and Directions
WISE '03 Proceedings of the Fourth International Conference on Web Information Systems Engineering
Discovery of Web Services in a Federated Registry Environment
ICWS '04 Proceedings of the IEEE International Conference on Web Services
Discovering and ranking web services with BASIL: a personalized approach with biased focus
Proceedings of the 2nd international conference on Service oriented computing
On automating Web services discovery
The VLDB Journal — The International Journal on Very Large Data Bases
A Vector Space Search Engine forWeb Services
ECOWS '05 Proceedings of the Third European Conference on Web Services
Discriminative cluster analysis
ICML '06 Proceedings of the 23rd international conference on Machine learning
Bootstrapping Performance and Dependability Attributes ofWeb Services
ICWS '06 Proceedings of the IEEE International Conference on Web Services
Efficient algorithms for Web services selection with end-to-end QoS constraints
ACM Transactions on the Web (TWEB)
Architecture for Web Services Filtering and Clustering
ICIW '07 Proceedings of the Second International Conference on Internet and Web Applications and Services
Similarity search for web services
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Scatter/Gather browsing of web service QoS data
Future Generation Computer Systems
Biologically-inspired clustering of semantic Web services. Birds or ants intelligence?
Concurrency and Computation: Practice & Experience
Weighted fuzzy clustering for capability-driven service aggregation
Service Oriented Computing and Applications
International Journal of Web Engineering and Technology
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Increasingly, application developers seek the ability to search for existing Web services within large Internet-based repositories. The goal is to retrieve services that match the user's requirements. With the growing number of services in the repositories and the challenges of quickly finding the right ones, the need for clustering related services becomes evident to enhance search engine results with a list of similar services for each hit. In this article, a statistical clustering approach is presented that enhances an existing distributed vector space search engine for Web services with the possibility of dynamically calculating clusters of similar services for each hit in the list found by the search engine. The focus is laid on a very efficient and scalable clustering implementation that can handle very large service repositories. The evaluation with a large service repository demonstrates the feasibility and performance of the approach.