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 on QoS 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.

More Semantics in QoS Matching

ZIMEO E.
2007-01-01

Abstract

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 on QoS 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.
2007
978-0-7695-2861-8
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12070/10600
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