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Distributed knowledge acquisition using virtual spaces
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
2000 (English)In: Proceedings of IASTED International Conference Artificial Intelligence and Soft Computing, Banff, Canada jul. 2000, Calgary: IASTED Acta press , 2000, 441-445 p.Conference paper, (Other scientific)
Abstract [en]

Knowledge acquisition involving several experts in different time and different places is difficult to perform with old technologies. Internet, Virtual Spaces and 3-D Graphics offer new methods and technologies for knowledge acquisition. In our approach we regard the organisational memory as an artefact in a virtual space on internet. Evolution of knowledge is visualised by refinement of the artefact in the virtual space. Beyond the visualised artefact, hidden from the domain experts, is a notation, based on SGML, describing the artefact at some level of granularity. The SGML-based notation is in our implementation visualised as a building. Our work differs from other approaches in that the experts may move, meet and communicate inside the knowledge repository. Due to constraints of equipment, network and virtual spaces software of today we propose and implement an intermediate architecture (KAVS) to study aspects of knowledge acquisition in a distributed environment.

Place, publisher, year, edition, pages
Calgary: IASTED Acta press , 2000. 441-445 p.
Keyword [en]
Knowledge Acquisition, Distributed Systems
National Category
Computer Science
Identifiers
URN: urn:nbn:se:miun:diva-1658Local ID: 282ISBN: 0-88986-292-3 (print)OAI: oai:DiVA.org:miun-1658DiVA: diva2:26690
Available from: 2008-09-30 Created: 2008-09-30Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf