An Extensible and Personalized Approach to QoS-enabled Service Discovery ∗
| Citations: | 2 - 0 self |
BibTeX
@MISC{Vu_anextensible,
author = {Le-hung Vu and Fabio Porto and Karl Aberer},
title = {An Extensible and Personalized Approach to QoS-enabled Service Discovery ∗},
year = {}
}
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Abstract
We present a framework for the autonomous discovery and selection of Semantic Web services based on their QoS properties. The novelty of our approach is the wide use of semantic technologies for a customizable discovery, which enables both the service users and providers to flexibly specify their matching models for QoS and the corresponding environmental conditions. In the presented approach, the discovery and ranking of services can be personalized via the use of domain ontologies detailing the user’s preferences and the provider’s specification. The discovery component is modeled as an adaptive query processing system in which the basic steps of filtering, matchmaking, reputation-based QoS assessment, and ranking of services correspond to logical algebraic operators, which facilitates the introduction of different discovery algorithms and the automatic generation of appropriate parallelized matchmaking evaluations, enabling the scalability of our solution up to unpredictable arrival rate of user queries against high numbers of published service descriptions in the system. 1
Keyphrases
qos-enabled service discovery personalized approach high number user query automatic generation autonomous discovery customizable discovery reputation-based qos assessment qos property basic step service user different discovery algorithm appropriate parallelized matchmaking evaluation logical algebraic operator provider specification service description adaptive query processing system presented approach unpredictable arrival rate user preference wide use semantic technology service correspond corresponding environmental condition matching model domain ontology semantic web service discovery component
