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An Extensible and Personalized Approach to QoS-enabled Service Discovery Le-Hung Vu, Fabio Porto, Karl Aberer
 

Summary: An Extensible and Personalized Approach to QoS-enabled Service Discovery
Le-Hung Vu, Fabio Porto, Karl Aberer
Swiss Federal Institute of Technology
CH-1015 Lausanne, Switzerland
{lehung.vu, fabio.porto, karl.aberer}@epfl.ch
Manfred Hauswirth
Digital Enterprise Research Institute
National University of Ireland
manfred.hauswirth@deri.org
Abstract
We present an extensible and customizable framework
for the autonomous discovery of Semantic Web services
based on their QoS properties. Using semantic technolo-
gies, users can specify the QoS matching model and cus-
tomize the ranking of services flexibly according to their
preferences. The formal modeling of the discovery pro-
cess as an adaptive query execution plan facilitates the in-
troduction of different discovery algorithms and the auto-
matic generation of parallelized matchmaking evaluations.
This enables adapting our approach to unpredictable ar-

  

Source: Aberer, Karl - Faculté Informatique et Communications, Ecole Polytechnique Fédérale de Lausanne

 

Collections: Computer Technologies and Information Sciences