DocumentCode
1812291
Title
Notice of Retraction
Research of Ontology-Based Model Representation Method
Author
Dai Chao-fan ; Feng Yang-he ; Zhang Peng-cheng
Author_Institution
C4ISR Technol. Key Lab. of Sci. & Technol. for Nat. Defense, Nat. Univ. of Defense Technol., Changsha, China
fYear
2010
fDate
24-25 July 2010
Firstpage
364
Lastpage
367
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Model ontology representation is proposed to improve the standardization of model representation in model base system. There are model domain ontology, application ontology and ontology evolution in it. Model domain ontology ensures that the information of model is integrity and consistency, which is abstract of model information and relation on each other. Model application ontology is concretion of model information according with domain ontology as the resource of information of the model management modules. Model domain and application ontology are modified by using ontology evolution under model consistency. Model ontology representation is easy to be standardized and expanded by the instance.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Model ontology representation is proposed to improve the standardization of model representation in model base system. There are model domain ontology, application ontology and ontology evolution in it. Model domain ontology ensures that the information of model is integrity and consistency, which is abstract of model information and relation on each other. Model application ontology is concretion of model information according with domain ontology as the resource of information of the model management modules. Model domain and application ontology are modified by using ontology evolution under model consistency. Model ontology representation is easy to be standardized and expanded by the instance.
Keywords
abstracting; knowledge management; ontologies (artificial intelligence); abstract; application ontology; model base system; model domain ontology; model management system; model ontology representation; ontology evolution; Compounds; Computational modeling; Data models; Decision support systems; Load modeling; Object oriented modeling; Ontologies; model base; model management system; model representation; ontology;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Computer Science (ITCS), 2010 Second International Conference on
Conference_Location
Kiev
Print_ISBN
978-1-4244-7293-2
Type
conf
DOI
10.1109/ITCS.2010.95
Filename
5557354
Link To Document