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
Facilitating the rapid development and scalable orchestration of composite web services
Distributed and Parallel Databases
A dynamic foundational architecture for semantic web services
Distributed and Parallel Databases
Towards an Approach forWeb services Substitution
IDEAS '06 Proceedings of the 10th International Database Engineering and Applications Symposium
Web Service Discovery with additional Semantics and Clustering
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
OPOSSum - An Online Portal to Collect and Share SWS Descriptions
ICSC '08 Proceedings of the 2008 IEEE International Conference on Semantic Computing
WSPAB: A Tool for Automatic Classification & Selection of Web Services Using Formal Concept Analysis
ECOWS '08 Proceedings of the 2008 Sixth European Conference on Web Services
Adapting the right measures for K-means clustering
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Identifying and evaluating community structure in complex networks
Pattern Recognition Letters
A graph b-coloring based method for composition-oriented web services classification
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
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
On topological structure of web services networks for composition
International Journal of Web Engineering and Technology
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Many real-world complex systems such as social, biological, information as well as technological systems results of a decentralised and unplanned evolution which leads to a common structuration. Irrespective of their origin, these so-called complex networks typically exhibit small-world and scale-free properties. Another common feature is their organisation into communities. In this paper, we introduce models of interaction networks based on the composition process of syntactic and semantic web services. An extensive experimental study conducted on a benchmark of real web services shows that these networks possess the typical properties of complex networks small-world, scale-free. Unlike most social networks, they are not transitive. Using a representative sample of community detection algorithms, a community structuration is revealed. The comparative evaluation of the discovered community structures shows that they are very similar in terms of content. Furthermore, the analysis performed on the community structures and on the communities themselves, leads us to conclude that their topological properties are consistent.