Advertisement

A socio-cultural ontology for urban development

  • Stefan Trausan-Matu
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 61)

Keywords

Urban Development Activity Theory Knowledge Acquisition Resource Description Framework Knowledge Forum 
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.
    Almeida, A., Roque, L., Simpler, Better, Faster, Cheaper, Contextual: requirements analysis for a methodological approach to Interaction Systems development, http://csrc.lse.ac.uk/asp/aspecis/20000003.pdf, retrieved on 23 May 2006.
  2. 2.
    Berners-Lee, T., Hendler, J., and Lassila, O., The Semantic Web, Scientific American, May 2001.Google Scholar
  3. 3.
    Engeström, Y. Learning by Expanding: An Activity theoretical approach to developmental research, Orienta-Konsultit Oy, Helsinki, 1987.Google Scholar
  4. 4.
    Gruber, T., What is an Ontology, http://www-ksl.stanford.edu/kst/what-is-an-ontology.html
  5. 5.
    Hewitt, J., An Exploration of Community in a Knowledge Forum Classroom: An Activity System Analysis, in Barab, S., Kling, R., and Gray, J. (Eds.) Designing for Virtual Communities in the Service of Learning. Cambridge University Press, 2004.Google Scholar
  6. 6.
    Sowa, J., Knowledge Representation: Logical, Philosophical and Computational Foundations, Brooke Cole Publishing Co., Pacific Grove, CA, 1999.Google Scholar
  7. 7.
    Vygotsky, L.S., 1978, Mind and Society: the Development of Higher Mental Processes, (edited by Cole, M., et. al), Harvard University Press, Cambridge, Massachussets, 1978.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Stefan Trausan-Matu
    • 1
  1. 1.Computer Science Department“Politehnica” University of BucharestBucharestRomania

Personalised recommendations