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Fourth IEEE Symposium on Bioinformatics and Bioengineering (BIBE'04)
A Service Discovery Approach in Support of Web Service Integration
Taichung, Taiwan, ROC
May 19-May 21
ISBN: 0-7695-2173-8
ASCII Text
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Zina Ben Miled, Lingma Lu, Malika Mahoui, Jessica Chen, Bukhres A. Omran, Ning Gao, Yue He, "A Service Discovery Approach in Support of Web Service Integration," Bioinformatic and Bioengineering, IEEE International Symposium on, pp. 65, Fourth IEEE Symposium on Bioinformatics and Bioengineering (BIBE'04), 2004.
 
 
BibTex
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@article{ 10.1109/BIBE.2004.1317326,
author = {Zina Ben Miled and Lingma Lu and Malika Mahoui and Jessica Chen and Bukhres A. Omran and Ning Gao and Yue He},
title = {A Service Discovery Approach in Support of Web Service Integration},
journal ={Bioinformatic and Bioengineering, IEEE International Symposium on},
volume = {0},
year = {2004},
isbn = {0-7695-2173-8},
pages = {65},
doi = {http://doi.ieeecomputersociety.org/10.1109/BIBE.2004.1317326},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Bioinformatic and Bioengineering, IEEE International Symposium on
TI - A Service Discovery Approach in Support of Web Service Integration
SN - 0-7695-2173-8
SP
EP
A1 - Zina Ben Miled,
A1 - Lingma Lu,
A1 - Malika Mahoui,
A1 - Jessica Chen,
A1 - Bukhres A. Omran,
A1 - Ning Gao,
A1 - Yue He,
PY - 2004
KW - null
VL - 0
JA - Bioinformatic and Bioengineering, IEEE International Symposium on
ER -
 
Zina Ben Miled, Indiana University Purdue University Indianapolis
Lingma Lu, Indiana University Purdue University Indianapolis
Malika Mahoui, Indiana University Purdue University Indianapolis
Jessica Chen, Indiana University Purdue University Indianapolis
Bukhres A. Omran, Indiana University Purdue University Indianapolis
Ning Gao, Indiana University Purdue University Indianapolis
Yue He, Indiana University Purdue University Indianapolis
Modern biological studies rely on life science web databases as well as sophisticated web-based software tools (e.g., homology search tools, modeling and visualization tools). These tools or web services often have to be combined and integrated in order to support a given study (i.e. an in-silico experiment). The large number of the available web services makes a service discovery process that can identify the set of services that satisfy a given number of constraints from the pool of all the available web services crucial. Without such an automated service discovery process the user will have to have a thorough knowledge of all of the existing web services, a task which is impractical in the life science domain. In this paper, a scalable approach to service discovery in the biological domain is presented. The approach is based on and guided by a domain ontology.
Citation:
Zina Ben Miled, Lingma Lu, Malika Mahoui, Jessica Chen, Bukhres A. Omran, Ning Gao, Yue He, "A Service Discovery Approach in Support of Web Service Integration," bibe, pp.65, Fourth IEEE Symposium on Bioinformatics and Bioengineering (BIBE'04), 2004
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