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Filtering and Selecting Semantic Web Services with Interactive Composition Techniques
July/August 2004 (vol. 19 no. 4)
pp. 42-49
Evren Sirin, University of Maryland
Bijan Parsia, University of Maryland
James Hendler, University of Maryland
Creating novel functionality by means of composing existing Web Services is essential for a variety of applications. A main problem for automated Web Service composition is the gap between the concepts people use and the data computers interpret. An interactive approach overcomes this barrier using Semantic Web technologies. This approach uses contextual information to find the matching services at each step of the composition. The matches are filtered using ontological reasoning on the semantic descriptions of the services. The authors have developed a prototype on the basis of these ideas and tested their system by generating OWL-S descriptions for some of the common Web Services. The approach is also applicable to other network environments where devices provide their functionalities as Web Services and their capabilities are described using Web Ontologies.
Index Terms:
Web Service Composition, Semantic Web, Web Ontologies, Ontology Mapping, OWL, OWL-S, WSDL
Citation:
Evren Sirin, Bijan Parsia, James Hendler, "Filtering and Selecting Semantic Web Services with Interactive Composition Techniques," IEEE Intelligent Systems, vol. 19, no. 4, pp. 42-49, July-Aug. 2004, doi:10.1109/MIS.2004.27
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