Knowledge-Chip Supported Content Recommendation in the e-Learning Context

  • Luyi Li
  • Yanlin Zheng
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 146)


Content recommendation is one of important learning supports in e-learning environments, which is often based on the recognition of the knowledge content itself that have been preset according to knowledge hierarchy. A knowledge-chip is a functional unit of knowledge and encompasses ontological, context and functional dimensions. With a case study analysis, this paper proposes the use of knowledge-chips in supporting content recommendation in the e-learning context.


knowledge-chip content recommendation weblog 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Guarino, N.: Semantic Matching: Formal Ontological Distinctions for Information Organization, Extraction, and Integration. In: Pazienza, M.T. (ed.) Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology, pp. 139–170. Springer (1997)Google Scholar
  2. 2.
    Wen, Y.: The knowledge organization and Search with knowledge element. Computer Engineering and Application (1), 55–57 (2005)Google Scholar
  3. 3.
    Zheng, Y., Li, L.: Knowledge-chip: A Novel Approach to Personalized e-Learning Service Provision. ICIC Express Letters 4(5), 49–54 (2010)Google Scholar
  4. 4.
  5. 5.
    Dolog, P., Henze, N., Nejdl, W., Sintek, M.: Personalization in distributed e-learning environments. In: Proceedings of the International World Wide Web Conference, New York, USA, May 17-22, pp. 170–179 (2004)Google Scholar

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.e-Learning CenterNortheast Normal UnviersityChangchunChina
  2. 2.School of Education ScienceNortheast Normal UniversityChangchunChina
  3. 3.School of Computer Science & Information TechnologyNortheast Normal UniversityChangchunChina

Personalised recommendations