Knowledge engineering: principles and methods
Data & Knowledge Engineering - Special jubilee issue: DKE 25
DAML-QoS Ontology for Web Services
ICWS '04 Proceedings of the IEEE International Conference on Web Services
A Framework and Ontology for Dynamic Web Services Selection
IEEE Internet Computing
QoSOnt: a QoS Ontology for Service-Centric Systems
EUROMICRO '05 Proceedings of the 31st EUROMICRO Conference on Software Engineering and Advanced Applications
OWL rules: A proposal and prototype implementation
Web Semantics: Science, Services and Agents on the World Wide Web
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This work presents a knowledge-based system and architecture for the formalization of quality of service (QoS) characteristics and measurement methods in telematic services, and for the collection, distribution and assessment of the QoS information obtained using these methods. The solution makes use of ontologies and reasoning technology to define and compare QoS information. The system can help customers to select the service offer that best fits their quality requirements. Providers will use it to detect when the delivered service fails to fulfill the quality agreements that they signed with customers.