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Ontology Classification for Semantic-Web-Based Software Engineering
October-December 2009 (vol. 2 no. 4)
pp. 303-317
ASCII Text
x 
 
Yajing Zhao, Jing Dong, Tu Peng, "Ontology Classification for Semantic-Web-Based Software Engineering," IEEE Transactions on Services Computing, vol. 2, no. 4, pp. 303-317, October-December, 2009.
 
 
BibTex
x
 
@article{ 10.1109/TSC.2009.20,
author = {Yajing Zhao and Jing Dong and Tu Peng},
title = {Ontology Classification for Semantic-Web-Based Software Engineering},
journal ={IEEE Transactions on Services Computing},
volume = {2},
number = {4},
issn = {1939-1374},
year = {2009},
pages = {303-317},
doi = {http://doi.ieeecomputersociety.org/10.1109/TSC.2009.20},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Services Computing
TI - Ontology Classification for Semantic-Web-Based Software Engineering
IS - 4
SN - 1939-1374
SP303
EP317
EPD - 303-317
A1 - Yajing Zhao,
A1 - Jing Dong,
A1 - Tu Peng,
PY - 2009
KW - Semantic Web
KW - ontology
KW - business requirement modeling
KW - requirements for enterprise modeling.
VL - 2
JA - IEEE Transactions on Services Computing
ER -
 
Yajing Zhao, University of Texas at Dallas, Richardson
Jing Dong, University of Texas at Dallas, Richardson
Tu Peng, University of Texas at Dallas, Richardson
The Semantic Web is the second generation of the Web, which helps sharing and reusing data across application, enterprise, and community boundaries. Ontology defines a set of representational primitives with which a domain of knowledge is modeled. The main purpose of the Semantic Web and ontology is to integrate heterogeneous data and enable interoperability among disparate systems. Ontology has been used to model software engineering knowledge by denoting the artifacts that are designed or produced during the engineering process. The Semantic Web allows publishing reusable software engineering knowledge resources and providing services for searching and querying. This paper classifies the ontologies developed for software engineering, reviews the current efforts on applying the Semantic Web techniques on different software engineering aspects, and presents the benefits of their applications. We also foresee the possible future research directions.

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Index Terms:
Semantic Web, ontology, business requirement modeling, requirements for enterprise modeling.
Citation:
Yajing Zhao, Jing Dong, Tu Peng, "Ontology Classification for Semantic-Web-Based Software Engineering," IEEE Transactions on Services Computing, vol. 2, no. 4, pp. 303-317, Oct.-Dec. 2009, doi:10.1109/TSC.2009.20
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