[1] Yang Dong, Tong Lixin, Ye Yan,. Approach for analyzing, extracting and modelinge-government ontology [J]. Journal of Southeast University (English Edition), 2006, 22 (3): 361-364. [doi:10.3969/j.issn.1003-7985.2006.03.015]

Copy

Approach for analyzing, extracting and modelinge-government ontology()

Share：

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

22

Issue:

2006 3

Page:

361-364

Research Field:

Automation

Publishing date:

2006-09-30

Info

Title:

Approach for analyzing, extracting and modelinge-government ontology

Author(s):

Yang Dong;  Tong Lixin;  Ye Yan

Department of Industrial Engineering and Management, Shanghai Jiaotong University, Shanghai 200030, China

Keywords:

e-government;  ontology modeling;  OWL;  IDEF5

PACS:

TP18

DOI:

10.3969/j.issn.1003-7985.2006.03.015

Abstract:

Taking the knowledge-intensive characteristics of governmental processes into account, an approach to analyzing, extracting and modeling e-government ontology by using both the IDEF5 ontology capture method and the web ontology language(OWL), is presented.First, both knowledge-intensive activities and knowledge items can be identified by the analysis of governmental processes.Secondly, the IDEF5 ontology capture method is utilized to extract concepts, terms and statements from these knowledge items, which act as a starting point for ontology refinement and validation. To describe precisely the semantics of the ontologies, the OWL language is employed in our project to formally model these e-government ontologies with the help of Protége-OWL tools.Finally, a case study about applying for social security cards(SSCs)in Shanghai local government is illustrated to demonstrate the effectiveness of the presented approach.

References:

[1] Traunmüller Roland, Wimmer Maria.E-government:the challenges ahead [A].In:Proc of the 3rd International Conference on Electronic Government, LNCS[C].Berlin:Springer-Verlag, 2004, 3183:1-6.
[2] Fraser J, Adams N, Macintosh A, et al.Knowledge management applied to e-government services [A].In:Proc of Knowledge Managment in Electronic Government[C].Berlin:Springer-Verlag, 2003.116-126.
[3] Tambouris E, Boukis G, Vassilakis C, et al. SmartGov:a governmental knowledge-based platform for public sector online services [A].In:Proc of Knowledge Managment in Electronic Government [C].Denmark:IFIP, 2002.173-185.
[4] Bresciani Paolo, Donzelli Paolo, Forte Angela.Requirements engineering for knowledge management in eGovernment [A].In:Proc of Knowledge Managment in Electronic Government[C].Berlin:Springer-Verlag, 2003.48-59.
[5] Degler Duane.Big vision, small steps.A KM strategy within a US agency’s policy content management environment [A].In:Proc of Knowledge Managment in Electronic Government[C].Berlin:Springer-Verlag, 2003.82-93.
[6] Fensel Dieter.Ontology-based knowledge management [J].IEEE Computer, 2002, 35(11):56-59.
[7] Gruber T R.Towards principles for the design of ontologies used for knowledge sharing [J].International Journal of Human and Computer Studies, 1994, 43(5, 6):907-928.
[8] van Elst L, Aschoff F R, Bernardi A, et al.Weakly-structured workflows for knowledge-intensive tasks:an experimental evaluation [A].In:Proc of the Twelfth IEEE International Workshop on Enabling Technologies[C].New York:IEEE Computer Society, 2003.340-345.
[9] Benjamin Perakath C.The IDEF5 ontology description capture method overview [R].Texas:Knowledge Based Systems Incorporation, 1994.
[10] Bechhofer S, van Harmelen F, Hendler J.OWL web ontology language reference [EB/OL].(2004-04-10)[2006-04-01].http://www.w3.org/TR/owl-ref.
[11] Dumas Marlon, ter Hofstede Arthur H M.UML activity diagrams as a workflow specification language [A].In:Proc of UML, LNCS[C].Berlin:Springer-Verlag, 2001, 2185:76-90.
[12] Rumbaugh James, Jacobson Ivar, Booch Grady.The unified modeling language reference manual [M].Addison-Wesley, 1999.

Memo

Memo:

Biography: Yang Dong(1970—), male, doctor, associate professor, dongyangcn@hotmail.com.

Common functions