QoS-Aware Middleware for Web Services Composition
IEEE Transactions on Software Engineering
Bringing Semantics to Web Services with OWL-S
World Wide Web
A heuristic search approach to planning with temporally extended preferences
Artificial Intelligence
Combining global optimization with local selection for efficient QoS-aware service composition
Proceedings of the 18th international conference on World wide web
Journal of Artificial Intelligence Research
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Optimizing QoS-Aware Semantic Web Service Composition
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Optimizing Web Service Composition While Enforcing Regulations
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Information gathering during planning for Web Service composition
Web Semantics: Science, Services and Agents on the World Wide Web
HTN planning for Web Service composition using SHOP2
Web Semantics: Science, Services and Agents on the World Wide Web
Web service composition with user preferences
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Web service composition via generic procedures and customizing user preferences
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Customizing the composition of actions, programs, and web ervices with user preferences
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part II
Preferences in AI: An overview
Artificial Intelligence
PWWM: a personal web workflow methodology
The Personal Web
Goal-based business service composition
Service Oriented Computing and Applications
Automated runtime repair of business processes
Information Systems
The actor's view of automated planning and acting: A position paper
Artificial Intelligence
Qualitative preference-based service selection for multiple agents
Web Intelligence and Agent Systems
Decentralized multi-agent service composition
Multiagent and Grid Systems
Hi-index | 0.00 |
Much of the research on automated Web Service Composition (WSC) relates it to an AI planning task, where the composition is primarily done offline prior to execution. Recent research on WSC has argued convincingly for the importance of optimizing quality of service, trust, and user preferences. While some of this optimization can be done offline, many interesting and useful optimizations are data-dependent, and must be done following execution of at least some information-gathering services. In this paper, we examine this class of WSC problems, attempting to balance the trade-off between offline composition and online information gathering with a view to producing high-quality compositions efficiently and without excessive data gathering. Our investigation is performed in the context of the semantic web employing an existing preference-based Hierarchical Task Network WSC system. Our experiments illustrate the potential improvement in both the quality and speed of composition generation afforded by our approach.