IEEE Intelligent Systems
ICDT '97 Proceedings of the 6th International Conference on Database Theory
Rule-based workflow management for bioinformatics
The VLDB Journal — The International Journal on Very Large Data Bases
Bioinformatics service reconciliation by heterogeneous schema transformation
DILS'07 Proceedings of the 4th international conference on Data integration in the life sciences
ProtocolDB: storing scientific protocols with a domain ontology
WISE'07 Proceedings of the 2007 international conference on Web information systems engineering
Web Services: Concepts, Architectures and Applications
Web Services: Concepts, Architectures and Applications
SIBIOS ontology: a robust package for the integration and pipelining of bioinformatics services
DILS'06 Proceedings of the Third international conference on Data Integration in the Life Sciences
Collection-Oriented scientific workflows for integrating and analyzing biological data
DILS'06 Proceedings of the Third international conference on Data Integration in the Life Sciences
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
BiOnMap: a deductive approach for resource discovery
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
Customized and Optimized Service Selection with ProtocolDB
Globe '09 Proceedings of the 2nd International Conference on Data Management in Grid and Peer-to-Peer Systems
Resource descriptions, ontology, and resource discovery
International Journal of Metadata, Semantics and Ontologies
Efficiently selecting the best web services
RED'09 Proceedings of the 2nd international conference on Resource discovery
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We present an ontology-driven approach to service composition with deductive databases. We formalize Web services as Deductive Web services (DWS) where the Extensional Service Base (ESB) stores all input and output signatures of services. The Intensional Service Base (ISB) corresponds to a set of deductive rules that express the semantics of the ESB captured by a domain ontology. We provide a framework for the composition of Web services represented as deductive Web services. In particular, we show that an approach that combines schema mapping and deductive databases can provide the missing link in service composition to implement scientific workflows.