An ontological approach to automating collaboration and interaction analysis in groupware systems

  • Authors:
  • Rafael Duque;Crescencio Bravo;Manuel Ortega

  • Affiliations:
  • Department of Mathematics, Statistics and Computer Science, University of Cantabria, Avenida de los Castros s/n, 39005 Santander, Spain;Department of Information Systems and Technologies, University of Castilla - La Mancha, Paseo de la Universidad, 4, 13071 Ciudad Real, Spain;Department of Information Systems and Technologies, University of Castilla - La Mancha, Paseo de la Universidad, 4, 13071 Ciudad Real, Spain

  • Venue:
  • Knowledge-Based Systems
  • Year:
  • 2013

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Abstract

Collaboration and interaction analysis is a research area that investigates how to characterise group work carried out by users of groupware systems. This paper describes an ontological framework that conceptualises the collaborative activity supported by groupware systems and the underlying collaboration and interaction analysis processes. Thus, two main ontologies are proposed: the collaborative work ontology and the collaboration and interaction analysis ontology. The ontological framework has been used to derive model-based computational support in order to allow developers to create, by generating and instantiating models, a collaboration and interaction analysis system to be integrated into a groupware system. The analysis ontologies and framework are used in a case study in which users collaborate, in groups, to build UML Use Cases diagrams using a groupware modelling tool.