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Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)
SOSRA: Sewice-Oriented Semantic Representation Architecture
Haier International Training Center, Qingdao, China
July 30-August 01
ISBN: 0-7695-2909-7
ASCII Text
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Lin Zhang, "SOSRA: Sewice-Oriented Semantic Representation Architecture," Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on, vol. 1, pp. 782-787, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007.
 
 
BibTex
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@article{ 10.1109/SNPD.2007.205,
author = {Lin Zhang},
title = {SOSRA: Sewice-Oriented Semantic Representation Architecture},
journal ={Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on},
volume = {1},
year = {2007},
isbn = {0-7695-2909-7},
pages = {782-787},
doi = {http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.205},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
TI - SOSRA: Sewice-Oriented Semantic Representation Architecture
SN - 0-7695-2909-7
SP782
EP787
A1 - Lin Zhang,
PY - 2007
KW - null
VL - 1
JA - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
ER -
 
Lin Zhang, Wuhan Polytechnic University, China
Constructing an effective translation between dSfferent representations is the key point to overcome semantic heterogeneity in information integration systems. This paper puts forward an ontology based information representation architecture-SOSRA. It introduces a GA V (global as view) approach to solve the mapping between heterogeneous semi-structured data in the form of service, discusses the semantic representation algorithm and semantic mapping strategy emphatically. The implementation of SOSRA and its application to semantic integration system is given at the end of this paper to enhance information process accuracy and eficiency.
Citation:
Lin Zhang, "SOSRA: Sewice-Oriented Semantic Representation Architecture," snpd, vol. 1, pp.782-787, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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