The Self-Serv Environment for Web Services Composition
IEEE Internet Computing
Infrastructure for E-Government Web Services
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Recommending collaboration with social networks: a comparative evaluation
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Semantic web services discovery based on structural ontology matching
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Semantic annotations for web services discovery and composition
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URBE: Web Service Retrieval Based on Similarity Evaluation
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Web Services Composition by I/O Data Structure Correspondences
APSEC '09 Proceedings of the 2009 16th Asia-Pacific Software Engineering Conference
Combining Quality of Service and Social Information for Ranking Services
ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing
Selecting skyline services for QoS-based web service composition
Proceedings of the 19th international conference on World wide web
Social-Networks Connect Services
Computer
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Modeling and verifying agent-based communities of web services
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
Why Web Services Need Social Networks
IEEE Internet Computing
Security Policy Composition for Composite Web Services
IEEE Transactions on Services Computing
Social Web Services Discovery: A Community-Based Approach
Proceedings of International Conference on Information Integration and Web-based Applications & Services
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This paper discusses a framework to manage Web services using the concept of community and the metaphor of social networking. On the one hand, a community gathers Web services that offer similar functionalities together. These Web services are referred to as either master or slave. On the other hand, social networking captures all interactions that occur between Web services located in the same or separate communities. Five interactions are identified and referred to as supervision, substitution, competition, collaboration, and recommendation. The mining exercise over the social networks that capture these interactions results in assigning social qualities to Web services, similar to those found in people's daily life such as selfishness, fairness, and trustworthiness. Experiments showing the mining exercise are also reported in this paper.