Knowledge extraction and representation of collaborative activity through ontology-based and Social Network Analysis technologies
by Luis Casillas, Thanasis Daradoumis
International Journal of Business Intelligence and Data Mining (IJBIDM), Vol. 4, No. 2, 2009

Abstract: This paper describes an approach for extracting and representing the knowledge generated from collaborative interaction of small learning teams that work together in distance to carry out a software project or a case study. Our approach is based on ontology, Social Network Analysis (SNA) and fuzzy classification, which has been initially developed as a mechanism to analyse and understand behavioural patterns from collaboration performed in different scenarios. Through the SNA we are able to define an ontological profile that provides a deep knowledge about the participants' roles, intentions and effects; hence a fuzzy model can perform inferences over individual indicators.

Online publication date: Wed, 08-Jul-2009

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