Knowledge Management for Emergence

H.T. Bai; J. Zhu; W. Chen; H. Chen

doi:10.4028/www.scientific.net/AMM.743.590

Paper Titles

Study on the Relationship between the Traffic Characteristics and Speed at the Access of Urban Tunnels
p.568

A New Deadlock Avoidance Policy Based on Petri Nets in Distributed System
p.575

An Analysis on Eliminating Bottlenecks in a Production Line Based on Plant Simulaiton
p.581

Design and Realization of Virtual Campus on Mobile Platform
p.585

Knowledge Management for Emergence
p.590

Conception of Traditional Knowledge Database Based on Climate Change
p.594

Analysis and Design of Highway Transmission System Based on .NET Framework
p.598

The Paradoxes of Big Data
p.603

Discovering Academic Communities and their Research Interests
p.607

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 743Knowledge Management for Emergence

Knowledge Management for Emergence

Abstract:

As the emergence phenomenon reflects the process of knowledge creation. Knowledge Management (KM) technology is naturally taken into account. The characteristic of emergence has brought new requirements for implementing KM. After they have been sufficiently analyzed, a knowledge resource management method based on ontology cloud model is put forward. The method is a set of scientific and effective management solution, which consists of expressing knowledge from emergence, defining knowledge evolution process, and sharing knowledge to promote emergence. This method is a good thought for making use of emergence and good for innovation.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 743)

Pages:

590-593

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.743.590

Citation:

Cite this paper

Online since:

March 2015

Authors:

H.T. Bai, J. Zhu, W. Chen, H. Chen

Keywords:

Emergence, Knowledge Management, Ontology, Ontology Cloud

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Jeffrey H. Goldstein(1975), Aggression and crimes of violence, New York: Oxford University Press.

Google Scholar

[2] Ralph D. Stacey(1996), Complexity and creativity in organizations, San Francisco, Barrett-Koehler Publishers.

Google Scholar

[3] John H. Holland(1962): Outline for a Logical Theory of Adaptive Systems. J. ACM 9(3): 297-314.

Google Scholar

[4] Zhu Jiang, Wang wenhua(2008), New-Knowledge-view based ontology cloud model，CSSE, Dalian, pp: 1140-1144.

Google Scholar

[5] Zhu Jiang(2008), a ontology cloud based parameter expressing method for content adaptation, WCSE, MOSCOW 143-147.

Google Scholar

[6] ZHU Jiang, Zhang GuoNing, CHEN MaoXiang(2010), An Ontology Cloud-shadow Model Based Knowledge Service Framework, ICNECS, Taiyuan.

Google Scholar

[7] G. Schreiber, B. Wielinga,H. Akkermans(1994), et al. CommonKADS: A comprehensive methodology for KBS development, IEEE Expert, vol. 9, no. 6, pp.: 28–37.

DOI: 10.1109/64.363263

Google Scholar

[8] Enhanced ISAAC Neural Simulation Toolkit(1999), An Artificial-Life Laboratory for Exploring Self-Organized Emergence in Land Combat, Center for Naval Analyses.

Google Scholar

[9] E. Bozsak, M. Ehrig, S. Handschuh, et al. (2002) KAON-towards a large scale semantic Web, In Proc. of the Third International Conference on E-Commerce and Web Technologies (EC-Web02), London, UK: Springer-Verlag, pp: 304-313.

DOI: 10.1007/3-540-45705-4_32

Google Scholar