Proceedings of the 17th International Conference on Data Engineering
Efficient Progressive Skyline Computation
Proceedings of the 27th International Conference on Very Large Data Bases
An optimal and progressive algorithm for skyline queries
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Data delivery in a service-oriented world: the BEA aquaLogic data services platform
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Enterprise information mashups: integrating information, simply
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Declarative Data Services: This Is Your Data on SOA
SOCA '07 Proceedings of the IEEE International Conference on Service-Oriented Computing and Applications
Shooting stars in the sky: an online algorithm for skyline queries
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Similarity search for web services
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Probabilistic skylines on uncertain data
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Incomplete Preference-driven Web Service Selection
SCC '08 Proceedings of the 2008 IEEE International Conference on Services Computing - Volume 1
Top-k dominant web services under multi-criteria matching
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Web Service Selection with Incomplete or Inconsistent User Preferences
ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing
ServiceTrust: Supporting Reputation-Oriented Service Selection
ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing
Effective and Flexible NFP-Based Ranking of Web Services
ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing
Combining Quality of Service and Social Information for Ranking Services
ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing
Selecting skyline services for QoS-based web service composition
Proceedings of the 19th international conference on World wide web
Database preferences queries: a possibilistic logic approach with symbolic priorities
FoIKS'08 Proceedings of the 5th international conference on Foundations of information and knowledge systems
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
Ranking and Clustering Web Services Using Multicriteria Dominance Relationships
IEEE Transactions on Services Computing
A Query Rewriting Approach for Web Service Composition
IEEE Transactions on Services Computing
Top-k service compositions: a fuzzy set-based approach
Proceedings of the 2011 ACM Symposium on Applied Computing
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
Fuzzy-Pareto-Dominance and its application in evolutionary multi-objective optimization
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
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Data Web services allow users to access information provided by different companies. Web users often need to compose different Web services to achieve a more complex task that can not be fulfilled by an individual Web service. In addition, user preferences are becoming increasingly important to personalize the composition process. In this paper, we propose an approach to compose data Web services in the context of preference queries where preferences are modeled thanks to fuzzy sets that allow for a large variety of flexible terms such as "cheap", "affordable" and "fairly expensive". Our main objective is to find the top-k data Web service compositions that better satisfy the user preferences. The proposed approach is based on an RDF query rewriting algorithm to find the relevant data Web services that can contribute to the resolution of a given preference query. The constraints of the relevant data Web services are matched to the preferences involved in the query using a set of matching methods. A ranking criterion based on a fuzzyfication of Pareto dominance is defined in order to better rank the different data Web services/compositions. To select the top-k data Web services/compositions we develop a suitable algorithm that allows eliminating less relevant data Web services before the composition process. Finally, we evaluate our approach through a set of experiments.