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An Extensible and Personalized Approach to QoS-enabled Service Discovery
Banff, Alberta, Canada September 06-September 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IDEAS.2007.1311th International Database Engineeri ...
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Le-Hung Vu, Fabio Porto, Karl Aberer, Manfred Hauswirth, "An Extensible and Personalized Approach to QoS-enabled Service Discovery," Database Engineering and Applications Symposium, International, pp. 37-45, 11th International Database Engineering and Applications Symposium (IDEAS 2007), 2007.
 
 
BibTex
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@article{ 10.1109/IDEAS.2007.13,
author = {Le-Hung Vu and Fabio Porto and Karl Aberer and Manfred Hauswirth},
title = {An Extensible and Personalized Approach to QoS-enabled Service Discovery},
journal ={Database Engineering and Applications Symposium, International},
volume = {0},
year = {2007},
issn = {1098-8068},
pages = {37-45},
doi = {http://doi.ieeecomputersociety.org/10.1109/IDEAS.2007.13},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Database Engineering and Applications Symposium, International
TI - An Extensible and Personalized Approach to QoS-enabled Service Discovery
SN - 1098-8068
SP37
EP45
A1 - Le-Hung Vu,
A1 - Fabio Porto,
A1 - Karl Aberer,
A1 - Manfred Hauswirth,
PY - 2007
KW - null
VL - 0
JA - Database Engineering and Applications Symposium, International
ER -
 
Le-Hung Vu, Swiss Federal Institute of Technology, Switzerland
Fabio Porto, Swiss Federal Institute of Technology, Switzerland
Karl Aberer, Swiss Federal Institute of Technology, Switzerland
Manfred Hauswirth, National University of Ireland, Ireland
We present an extensible and customizable framework for the autonomous discovery of Semantic Web services based on their QoS properties. Using semantic technologies, users can specify the QoS matching model and customize the ranking of services flexibly according to their preferences. The formal modeling of the discovery process as a query execution plan facilitates the introduction of different discovery algorithms and the automatic generation of parallelized matchmaking evaluations. This enables adapting our approach to unpredictable arrival rates of user queries and scales up to high numbers of published service descriptions.
Citation:
Le-Hung Vu, Fabio Porto, Karl Aberer, Manfred Hauswirth, "An Extensible and Personalized Approach to QoS-enabled Service Discovery," ideas, pp.37-45, 11th International Database Engineering and Applications Symposium (IDEAS 2007), 2007
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