Adaptive Service Binding with Lightweight Semantic Web Services
Publication date
2011
Document type
Sammelbandbeitrag oder Buchkapitel
Author
Organisational unit
Knowledge Media Institute, The Open University
ISBN
Book title
Service Engineering : European Research Results
First page
233
Last page
260
Part of the university bibliography
Nein
Abstract
Adaptive service selection is acknowledged to provide a certain number of advantages to optimise the service provisioning process or to cater for advanced service brokering. Semantic Web Services, that is services that have been enriched with semantic annotations have often been used for providing adaptive service selection by deferring the binding of services until runtime. Thus far, however, research on Semantic Web Services has mainly been dominated by rich conceptual frameworks such as WSMO and OWL-S which require a significant effort towards the annotation of services and rely on complex reasoning for which there are no efficient solutions that can scale to the Web yet. In this chapter, inline with current trends on the Semantic Web that sacrifice expressivity in favour of performance, we present a novel approach to providing adaptive service selection that relies on simple conceptual models for services and less expressive formalisms for which there currently exist mature and performant implementations. In particular, we present a set of conceptual models defined in RDF(S) that support both Web services and Web APIs and we show how simple templates abstracting user requirements can be automatically transformed into SPARQL to enable service selection in a scalable manner. © 2011 Springer-Verlag/Wien.
Cite as
Pedrinaci, C., Lambert, D., Maleshkova, M., Liu, D., Domingue, J., Krummenacher, R. (2011). Adaptive Service Binding with Lightweight Semantic Web Services. In: Service Engineering. Springer, Vienna. https://doi.org/10.1007/978-3-7091-0415-6_9
Version
Published version
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