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An Integrative Framework for Knowledge Extraction in Collaborative Virtual Environments

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2001

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Proceedings of the 2001 ACM International Conference on Supporting Group Work

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Association for Computing Machinery

Abstract

Collaborative virtual environments are becoming an intrinsic part of professional practices. In addition to providing collaboration support, they have the potential to collect vast amounts of data about collaborative activities. The aim of this research is to utilize this data effectively, extract meaningful insights out of it and feeding discovered knowledge back into the environment. The paper presents a framework for integrating knowledge discovery techniques with collaborative virtual environments, starting from early conceptual development. Discovered patterns are deposited in an organizational memory which makes these available within the virtual environment. Two examples of the application of the framework are included.

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Biuk-Aghai, Robert P.; Simoff, Simeon J. (2001): An Integrative Framework for Knowledge Extraction in Collaborative Virtual Environments. Proceedings of the 2001 ACM International Conference on Supporting Group Work. DOI: 10.1145/500286.500298. New York, NY, USA: Association for Computing Machinery. pp. 61–70. Boulder, Colorado, USA

Keywords

collaborative virtual environment, virtual collaboration, knowledge extraction

Citation

DOI

10.1145/500286.500298

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https://dl.eusset.eu/handle/20.500.12015/4800

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GROUP 2001

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Number of citations to item: 9

  • Simeon J. Simoff, Robert P. Biuk-Aghai (2002): Discovering Emergent Virtual Work Processes in Collaborative Systems, In: Lecture Notes in Computer Science, doi:10.1007/3-540-36124-3_17
  • R. Soliman, R. Braun, S. Simoff (2005): The essential ingredients of collaboration, In: Proceedings of the 2005 International Symposium on Collaborative Technologies and Systems, 2005., doi:10.1109/iscst.2005.1553336
  • Steve Moyle (2000): Collaborative Data Mining, In: Data Mining and Knowledge Discovery Handbook, doi:10.1007/0-387-25465-x_49
  • Łukasz Paśko, Paweł Litwin (2019): Methods of Data Mining for Quality Assurance in Glassworks, In: IFIP Advances in Information and Communication Technology, doi:10.1007/978-3-030-28464-0_17
  • Steve Moyle (2009): Collaborative Data Mining, In: Data Mining and Knowledge Discovery Handbook, doi:10.1007/978-0-387-09823-4_54
  • Obinna Anya, Hissam Tawfik, Atulya Nagar (2007): A Conceptual Design of an Adaptive and Collaborative E-Work Environment, In: First Asia International Conference on Modelling & Simulation (AMS'07), doi:10.1109/ams.2007.1
  • Simon Joslin, Ross Brown, Penny Drennan (2007): The gameplay visualization manifesto, In: Computers in Entertainment 3(5), doi:10.1145/1316511.1316517
  • R.P. Biuk-Aghai, S.J. Simoff (2000): Assisting the design of virtual work processes via on-line reverse engineering, In: Proceedings of the 35th Annual Hawaii International Conference on System Sciences, doi:10.1109/hicss.2002.993857
  • R.P. Biuk-Aghai (2000): An information model of virtual collaboration, In: Proceedings Fifth IEEE Workshop on Mobile Computing Systems and Applications, doi:10.1109/iri.2003.1251405
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