Quality of service (QoS) based service retrieval engine

Authors:
Hai Dong;Farookh Khadeer Hussain;Elizabeth Chang
Affiliations:
Curtin University of Technology, Perth, Australia;Curtin University of Technology, Perth, Australia;Curtin University of Technology, Perth, Australia
Venue:
Proceedings of the 6th International Conference on Advances in Mobile Computing and Multimedia
Year:
2008

Citing 2
Cited 1

Trust and Reputation for Service-Oriented Environments: Technologies For Building Business Intelligence And Consumer Confidence

Trust and Reputation for Service-Oriented Environments: Technologies For Building Business Intelligence And Consumer Confidence
CCCI Metrics for the Measurement of Quality of e-Service

IAT '05 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology

A Human-Centered Semantic Service Platform for the Digital Ecosystems Environment

World Wide Web

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Abstract

It is observed that there are few service evaluation and ranking methodologies currently available in the SOE. In this paper, we propose an innovative service evaluation and ranking strategy, based on the measurement of trustworthiness and reputation of services (or service providers'). CCCI Metrics originally proposed and developed by Chang et al [1] is used to measure the trustworthiness and reputation of e-services. Here we extend the application of CCCI Metrics to the field of service retrieval. A java-based search engine prototype is designed, with the purpose of implementing the trustworthiness and reputation-based service search, evaluation and ranking. Conclusions and future works are drawn in the final section.