ReputationNet: A Reputation Engine to Enhance ServiceMap by Recommending Trusted ServicesThe 9th IEEE International Conference on Services Computing (SCC) (2012)
AbstractThe concept of Service Oriented Architecture (SOA) enables ﬂexible and dynamic collaborations among different service providers. Backed up by SOA, scientiﬁc workﬂows can bring together various scientiﬁc computing tools and resources all offered as services to answer complex research questions. However, studies conducted on myExperiment show that although the sharing of service-based capabilities opens a gateway to resource reuse, in practice, the degree of reuse is very low. This motivates us to propose ServiceMap to provide navigation support through the network of services in building scientiﬁc workﬂows. In this paper, we propose an extension of ServiceMap, i.e., ReputationNet that incorporates the reputation of services/workﬂows and their publishers to reinforce its capability in terms of service and workﬂow recommendations. We develop a novel model of the reputation aspects of the services/workﬂows, and we propose heuristic algorithms to provide service recommendations based on reputations. Experiments have been conducted with workﬂows on myExperiment to evaluate the effectiveness and validity of the ReputationNet approach for service recommendations.
- Service reputation,
- service discovery,
- service recommendation
Publication DateJune 24, 2012
Citation InformationJinhui Yao, Wei Tan, Surya Nepal, Shiping Chen, Jia Zhang, David De Roure, Carole A. Goble: “ReputationNet: A Reputation Engine to Enhance ServiceMap by Recommending Trusted Services”, in Proceedings of The 9th IEEE International Conference on Services Computing (SCC), Honolulu, HA, USA, Jun. 24-29, 2012, pp. 454-461.