Semantic-Aware Service Quality Negotiation
ServiceWave '08 Proceedings of the 1st European Conference on Towards a Service-Based Internet
onQoS-QL: A Query Language for QoS-Based Service Selection and Ranking
Service-Oriented Computing - ICSOC 2007 Workshops
Towards QoS-Based Web Services Discovery
Service-Oriented Computing --- ICSOC 2008 Workshops
Management Intelligence in Service-Level Reconfiguration of Distributed Network Applications
SOCASE '09 Proceedings of the AAMAS 2009 International Workshop on Service-Oriented Computing: Agents, Semantics, and Engineering
Effective and Flexible NFP-Based Ranking of Web Services
ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing
A semantic web services discovery algorithm based on QoS ontology
AMT'10 Proceedings of the 6th international conference on Active media technology
Modeling and negotiating service quality
Service research challenges and solutions for the future internet
A survey on service quality description
ACM Computing Surveys (CSUR)
Quality of service ontology languages for web services discovery: an overview and limitations
HCI International'13 Proceedings of the 15th international conference on Human Interface and the Management of Information: information and interaction design - Volume Part I
UsageQoS: Estimating the QoS of Web Services through Online User Communities
ACM Transactions on the Web (TWEB)
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The evolution of the Web towards a global computing environment is promoting new research efforts aimed at the formal characterization of Web Services QoS. Reasoning on QoS is a key to improve matching process during the discovery of desired services and a step towards the transformation of applications in collections of loosely coupled services virtually connected by semantic similarities. The paper presents the onQoS ontology, an openly available OWL ontology for QoS, and evaluates it in a QoS-aware matching environment. The ontology can be used to express functions of QoS metrics useful to improve the recall tied to the matching of a template request with target Web Services. To this end, the ontology introduces the concept of derivation in the matching process. This gives the possibility of matching a QoS template with published Web Services by deriving different QoS parameters when a one-to-one matching fails. The proposed matching algorithm utilizes a reasoner that exploits the ontology to avoid apparent mismatches. An experimental evaluation shows that exploiting QoS knowledge significantly improves matching recall without deteriorating precision.