The EM algorithm for graphical association models with missing data
Computational Statistics & Data Analysis - Special issue dedicated to Toma´sˇ Havra´nek
A Framework and Ontology for Dynamic Web Services Selection
IEEE Internet Computing
Current Solutions for Web Service Composition
IEEE Internet Computing
Composing Web Services: A QoS View
IEEE Internet Computing
Practical Bayesian estimation of a finite beta mixture through gibbs sampling and its applications
Statistics and Computing
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Consumer-centric QoS-aware selection of web services
Journal of Computer and System Sciences
An adaptive probabilistic trust model and its evaluation
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
Operators for propagating trust and their evaluation in social networks
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Reputation Propagation in Composite Services
ICWS '09 Proceedings of the 2009 IEEE International Conference on Web Services
Integrating Behavioral Trust in Web Service Compositions
ICWS '09 Proceedings of the 2009 IEEE International Conference on Web Services
Trust representation and aggregation in a distributed agent system
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Exploiting causal independence in Bayesian network inference
Journal of Artificial Intelligence Research
Towards web services composition based on the mining and reasoning of their causal relationships
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
Learning Bayesian networks from incomplete data
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Evidence-based trust: A mathematical model geared for multiagent systems
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
The Bayesian structural EM algorithm
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Workflow composition of service level agreements for web services
Decision Support Systems
Generalized framework for personalized recommendations in agent networks
Autonomous Agents and Multi-Agent Systems
Trust, distrust and lack of confidence of users in online social media-sharing communities
Knowledge-Based Systems
Adaptive Composition of Distributed Pervasive Applications in Heterogeneous Environments
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Enhancing trustworthiness evaluation in internetware with similarity and non-negative constraints
Proceedings of the 5th Asia-Pacific Symposium on Internetware
An efficient and reliable approach for quality-of-service-aware service composition
Information Sciences: an International Journal
| Hi-index | 0.00 |
We consider Service-Oriented Computing (SOC) environments. Such environments are populated with services that stand proxy for a variety of information resources. A fundamental challenge in SOC is to select and compose services, to support specified user needs directly or by providing additional services. Existing approaches for service selection either fail to capture the dynamic relationships between services or assume that the environment is fully observable. In practical situations, however, consumers are often not aware of how the services are implemented. We propose two distributed trust-aware service selection approaches: one based on Bayesian networks and the other on a beta-mixture model. We experimentally validate our approach through a simulation study. Our results show that both approaches accurately punish and reward services in terms of the qualities they offer, and further that the approaches are effective despite incomplete observations regarding the services under consideration.