Towards a conversation-driven composition of web services
Web Intelligence and Agent Systems
WSIPL: An XML scripting language for integrating web service data and applications
Web Intelligence and Agent Systems
Web Intelligence and Agent Systems
Preference-based selection of highly configurable web services
Proceedings of the 16th international conference on World Wide Web
Adaptive Service Composition in Flexible Processes
IEEE Transactions on Software Engineering
QoS-Aware Web Service Selection by a Synthetic Weight
FSKD '07 Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 03
Web Intelligence and Agent Systems
VisiQ: Supporting visual and interactive query refinement
Web Intelligence and Agent Systems
QoS-Aware Semantic Service Selection: An Optimization Problem
SERVICES '08 Proceedings of the 2008 IEEE Congress on Services - Part I
Combining global optimization with local selection for efficient QoS-aware service composition
Proceedings of the 18th international conference on World wide web
Using interaction models to detect and resolve inconsistencies in evolving service compositions
Web Intelligence and Agent Systems
From Coordination to Stochastic Models of QoS
COORDINATION '09 Proceedings of the 11th International Conference on Coordination Models and Languages
mCP nets: representing and reasoning with preferences of multiple agents
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Journal of Artificial Intelligence Research
Consumer selection of E-commerce websites in a B2C environment: a discrete decision choice model
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A model-driven approach for describing semantic web services: from UML to OWL-S
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Multiple criteria programming models for VIP E-Mail behavior analysis
Web Intelligence and Agent Systems
Selecting skyline services for QoS-based web service composition
Proceedings of the 19th international conference on World wide web
Web Service Selection for Multiple Agents with Incomplete Preferences
WI-IAT '10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Preference-based web service composition: a middle ground between execution and search
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
Efficient heuristic approach to dominance testing in CP-nets
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Majority-rule-based preference aggregation on multi-attribute domains with CP-nets
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
ICTAI '11 Proceedings of the 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence
Flexible service selection with user-specific QoS support in service-oriented architecture
Journal of Network and Computer Applications
Group Decision-Making Model With Incomplete Fuzzy Preference Relations Based on Additive Consistency
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
MAGDM Linear-Programming Models With Distinct Uncertain Preference Structures
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An obligation-based framework for web service composition via agent conversations
Web Intelligence and Agent Systems
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Service selection is one of the important problems in applications of multi-agent systems. A qualitative way is desirable for service selection according to agents' preferences on non-functional Quality of Service QoS attributes of services. However, it is challenging when the decision has to be made for multiple agents with preferences on attributes that may be incomplete. In this paper, first use a qualitative graphical representation tool called CP-nets to describe preference relations in a relatively compact, intuitive and structured manner. We then propose a preference reasoning algorithm to construct a derivation tree from a CP-net for each agent and then generate all service patterns for this agent. The Rank semantic is used together with the Lex semantic to provide the ordering of different service patterns. After that, we merge ranked service patterns for all agents and select a set of services that satisfy these agents the most. Finally, we also propose a semantic validation algorithm to show the satisfactory degree of the best service patterns according to other voting semantics. Experimental results indicate that this method can always obtain optimal outcomes which closely satisfy all agents, within acceptable execution time.