Paper Info
Title
Effective Web Service Selection via Communities Formed by Super-Agents
Abstract
In this paper, we propose a novel community-based approach for web service selection where super-agents with more capabilities serve as community managers. They maintain communities and build community-based reputation for a service based on the opinions from all community members that have similar interests and judgement criteria. The community-based reputation is useful for consumer agents in selecting satisfactory services when they do not have much personal experience with the services. Experimental results show that our approach results in more effective service selection. A practical reward mechanism is also introduced to create incentives for super-agents to contribute their resources and provide truthful community-based reputation information, as strong support for our approach.
Year
DOI
Venue
2010
10.1109/WI-IAT.2010.221
Web Intelligence
Keywords
Field
DocType
community member,approach result,effective service selection,community manager,novel community-based approach,truthful community-based reputation information,web service selection,consumer agent,satisfactory service,community-based reputation,effective web service selection,software agents,social network analysis,community,web services,web service
World Wide Web,Incentive,Computer science,Social network analysis,Judgement,Knowledge management,Software agent,Web service,Service delivery framework,WS-Policy,Reputation
Conference
Citations 
PageRank 
References 
13
0.83
6
Authors
3
Name
Order
Citations
PageRank
Yao Wang12312.50
Jie Zhang21995156.26
Julita Vassileva31929199.10