Proceedings of the 17th International Conference on Data Engineering
Semantic Matching of Web Services Capabilities
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
A software framework for matchmaking based on semantic web technology
WWW '03 Proceedings of the 12th international conference on World Wide Web
An optimal and progressive algorithm for skyline queries
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Finding k-dominant skylines in high dimensional space
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Preference-based selection of highly configurable web services
Proceedings of the 16th international conference on World Wide Web
Similarity search for web services
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Incomplete Preference-driven Web Service Selection
SCC '08 Proceedings of the 2008 IEEE International Conference on Services Computing - Volume 1
Selecting skyline services for QoS-based web service composition
Proceedings of the 19th international conference on World wide web
Computing Service Skyline from Uncertain QoWS
IEEE Transactions on Services Computing
Computing Service Skylines over Sets of Services
ICWS '10 Proceedings of the 2010 IEEE International Conference on Web Services
On the Use of Fuzzy Dominance for Computing Service Skyline Based on QoS
ICWS '11 Proceedings of the 2011 IEEE International Conference on Web Services
Top-k Web Service Compositions Using Fuzzy Dominance Relationship
SCC '11 Proceedings of the 2011 IEEE International Conference on Services Computing
Multi-attribute optimization in service selection
World Wide Web
Efficient Service Skyline Computation for Composite Service Selection
IEEE Transactions on Knowledge and Data Engineering
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In many Web service selection scenarios, the responsibility to decide which is the appropriate service is shared among multiple parties, e.g., among the department heads of a university. The standard approach is to discard services which are unanimously inappropriate, and return the rest. However, as the involved parties may have conflicting interests, it is possible that only few services are eliminated, and thus almost all discovered services need to be considered. This work addresses this shortcoming, by enforcing the majority rule: a service is discarded if the majority of the parties find it inappropriate. We formulate the majority-rule-based service selection problem based on the notions of dominance and skyline. Furthermore, we propose an algorithm that returns a more manageable set of services, eliminating many inappropriate ones, and is more efficient that standard skyline techniques.