An Integrative Framework for Knowledge Extraction in Collaborative Virtual Environments

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dc.contributor.authorBiuk-Aghai, Robert P.
dc.contributor.authorSimoff, Simeon J.
dc.date.accessioned2023-06-08T11:43:20Z
dc.date.available2023-06-08T11:43:20Z
dc.date.issued2001
dc.description.abstractCollaborative 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.en
dc.identifier.doi10.1145/500286.500298
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/4800
dc.language.isoen
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofProceedings of the 2001 ACM International Conference on Supporting Group Work
dc.subjectcollaborative virtual environment
dc.subjectvirtual collaboration
dc.subjectknowledge extraction
dc.titleAn Integrative Framework for Knowledge Extraction in Collaborative Virtual Environmentsen
gi.citation.publisherPlaceNew York, NY, USA
gi.citation.startPage61–70
gi.conference.locationBoulder, Colorado, USA

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