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First Asia International Conference on Modelling & Simulation (AMS'07)
The Interoperability and Shared Management Information Model
Prince of Songkla University, Phuket, Thailand
March 27-March 30
ISBN: 0-7695-2845-7
ASCII Text
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Zhipeng Gao, Luoming Meng, Xuesong Qiu, Xiaocui Fu, "The Interoperability and Shared Management Information Model," Asia International Conference on Modelling & Simulation, pp. 116-122, First Asia International Conference on Modelling & Simulation (AMS'07), 2007.
 
 
BibTex
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@article{ 10.1109/AMS.2007.102,
author = {Zhipeng Gao and Luoming Meng and Xuesong Qiu and Xiaocui Fu},
title = {The Interoperability and Shared Management Information Model},
journal ={Asia International Conference on Modelling & Simulation},
volume = {0},
year = {2007},
isbn = {0-7695-2845-7},
pages = {116-122},
doi = {http://doi.ieeecomputersociety.org/10.1109/AMS.2007.102},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Asia International Conference on Modelling & Simulation
TI - The Interoperability and Shared Management Information Model
SN - 0-7695-2845-7
SP116
EP122
A1 - Zhipeng Gao,
A1 - Luoming Meng,
A1 - Xuesong Qiu,
A1 - Xiaocui Fu,
PY - 2007
KW - null
VL - 0
JA - Asia International Conference on Modelling & Simulation
ER -
 
Zhipeng Gao, Beijing University of Posts and Telecommunications, China
Luoming Meng, Beijing University of Posts and Telecommunications, China
Xuesong Qiu, Beijing University of Posts and Telecommunications, China
Xiaocui Fu, Shandong Agricultural University, China
The interoperability problem of different operational support systems (OSS) is analyzed and the problem is divided into two parts: system-level interoperability and model-level interoperability problems. This paper presents an ontology-based model: Shared Management Information Model, which is noted as SMIM, to solve the model-level interoperability problem. Then an improved similarity-based ontology mapping method is given to realize the one-more concept mapping. The similarity-based ontology mapping method divides the mapping process into five steps: ontology acquisition, ontology formalization, concept similarity estimation, ontology mapping, and result presentation. At last, a SMIM-based prototype system is introduced to show how system works with the help of SMIM mapping.
Citation:
Zhipeng Gao, Luoming Meng, Xuesong Qiu, Xiaocui Fu, "The Interoperability and Shared Management Information Model," ams, pp.116-122, First Asia International Conference on Modelling & Simulation (AMS'07), 2007
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