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
Architectural styles and the design of network-based software architectures
Architectural styles and the design of network-based software architectures
QoS-Aware Middleware for Web Services Composition
IEEE Transactions on Software Engineering
Kepler: An Extensible System for Design and Execution of Scientific Workflows
SSDBM '04 Proceedings of the 16th International Conference on Scientific and Statistical Database Management
Triana: A Graphical Web Service Composition and Execution Toolkit
ICWS '04 Proceedings of the IEEE International Conference on Web Services
Efficient Access to Web Services
IEEE Internet Computing
An approach for QoS-aware service composition based on genetic algorithms
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
WSMX - A Semantic Service-Oriented Architecture
ICWS '05 Proceedings of the IEEE International Conference on Web Services
Incorporating semantics in scientific workflow authoring
SSDBM'2005 Proceedings of the 17th international conference on Scientific and statistical database management
Query optimization over web services
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Workflows for e-Science: Scientific Workflows for Grids
Workflows for e-Science: Scientific Workflows for Grids
Efficient algorithms for Web services selection with end-to-end QoS constraints
ACM Transactions on the Web (TWEB)
A Review on Trust and Reputation for Web Service Selection
ICDCSW '07 Proceedings of the 27th International Conference on Distributed Computing Systems Workshops
Shooting stars in the sky: an online algorithm for skyline queries
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Framework for Web service query algebra and optimization
ACM Transactions on the Web (TWEB)
The myGrid ontology: bioinformatics service discovery
International Journal of Bioinformatics Research and Applications
Applied Ontology
Computing Service Skyline from Uncertain QoWS
IEEE Transactions on Services Computing
Ranking and Clustering Web Services Using Multicriteria Dominance Relationships
IEEE Transactions on Services Computing
The web service modeling language WSML: an overview
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Feta: a light-weight architecture for user oriented semantic service discovery
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Data procurement for enabling scientific workflows: on exploring inter-ant parasitism
SWDB'04 Proceedings of the Second international conference on Semantic Web and Databases
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In this paper, we present a case study of the design and development of a Web Service management system for bioinformatics research. The described system is a prototype that provides a complete solution to manage the entire life cycle of Web Services in bioinformatics domain, which include semantic service description, service discovery, service selection, service composition, service execution, and service result presentation. A challenging issue we encountered is to provide the system capability to assist users to select the "right" service based on not only functionality but also properties such as reliability, performance, and analysis quality. As a solution, we used both bioinformatics and service ontology to provide these two types of service descriptions. A service selection algorithm based on skyline query algorithm is proposed to provide users with a short list of candidates of the "best" service. The evaluation results demonstrate the efficiency and scalability of the service selection algorithm. Finally, the important lessons we learned are summarized, and remaining challenging issues are discussed as possible future research directions.