The Framework of Web 3.0-Based Enterprise Knowledge Management System

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 172)

Abstract

Internet has been running into the era of Web 3.0 equipped with the development of semantic technology. Therefore, how to manage the enterprise knowledge that suits Web 3.0 becomes an urgent problem. In this paper, we first summarize the evolution of Internet and describe the feature of Web 3.0. After analyzing the practice of linked data applied in Web 3.0, we propose a new framework of enterprise knowledge management system combining the theory of linked data and the close loop of knowledge management. Moreover, we analyze each layer’s function in the framework and discuss the implementation of the knowledge publish layer in detail. As a remarkable result, the proposed enterprise knowledge management system can extend the knowledge sharing to a new level, and reduce the cost of enterprise collaboration caused by heterogeneous data as well.

Keywords

Knowledge Management Tacit Knowledge Resource Description Framework Knowledge Management System Resource Description Framework Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Gonzalez, C.: The Role of Blended Learning in the World of Technol-ogy. University of North Texas (2004), http://www.unt.edu/benchmarks/archives/2004/september04/eis.htm (accessed December 12, 2011)
  2. 2.
    OECD, The Knowledge-based Economy. OECD, Paris (1996) Google Scholar
  3. 3.
    Takeuchi, H., Nonaka, I.: Hitotsubashi on Knowledge Management. John Wiley & Sons, Tokyo (2004)Google Scholar
  4. 4.
    Ribino, P., Oliveri, A., Re, G.L., Gaglio, S.: A Knowledge Manage-ment System based on Ontologies. In: 2009 International Conference on New Trends in Information and Service Science, pp. 1025–1033 (2009) Google Scholar
  5. 5.
    Lavoué, É.: A Knowledge Management System and Social Networking Service to Connect Communities of Practice. In: Fred, A., Dietz, J.L.G., Liu, K., Filipe, J. (eds.) IC3K 2009. CCIS, vol. 128, pp. 310–322. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  6. 6.
    Li, Y.-X., Zhang, L.: The Behavior Modes of Multiple Agents in Knowledge Management System based on Complexity Theory. In: 2011 International Conference on Intelligence Science and Informa-tion Engineering, pp. 53–56 (2011) Google Scholar
  7. 7.
    de Boer, R.C., van Vliet, H.: Experiences with SemanticWikis for Ar-chitectural Knowledge Management. In: 9th Working IEEE/IFIP Conference on Software Architecture, pp. 32–41 (2011) Google Scholar
  8. 8.
    Manola, F., Miller, E.: RDF Primer. W3C (2004), http://www.w3.org/TR/2004/REC-rdf-primer-20040210/ (accessed December 25, 2011)
  9. 9.
    McGuinness, D.L., van Harmelen, F.: OWL Web Ontology Language Overview. W3C (2004), http://www.w3.org/TR/owl-features/ (accessed December 25, 2011)
  10. 10.
    Prud’hommeaux, E., Seaborne, A.: SPARQL Query Language for RDF. W3C (2008), http://www.w3.org/TR/rdf-sparql-query/ (accessed December 26, 2011)
  11. 11.
    Shannon, V.: A ’more revolutionary’ Web. The New York Times (2006), http://www.nytimes.com/2006/05/23/technology/23iht-web.html (accessed December 20, 2011)
  12. 12.
    Heath, T., Bizer, C.: Linked Data: Evolving the Web into a Global Data Space. Morgan & Claypool (2011), http://linkeddatabook.com/editions/1.0/ (accessed October 11, 2011)
  13. 13.
    Klyne, G., Carroll, J.J.: Resource Description Framework (RDF): Concepts and Abstract Syntax. W3C (2004), http://www.w3.org/TR/rdf-concepts/ (accessed January 11, 2012)
  14. 14.
    Bizer, C., Cyganiak, R.: D2R Server Publishing Relational Databases on the Semantic Web. Freie University, Berlin (2010), http://www4.wiwiss.fu-berlin.de/bizer/d2r-server/ (accessed January 15, 2012)
  15. 15.
    Fan, Y., Wu, C.: Research of System Architecture and Implementation Method for Integrated Enterprise Modeling. Control and Decision 15(4), 401–405 (2000)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Department of AutomationTsinghua UniversityBeijingP.R. China

Personalised recommendations