The analysis of data produced during collaborative activities allows organizations to improve collaboration management. Since people use several collaboration tools, these kind of data are difﬁcult to obtain. Furthermore they are heterogeneous and require an important preprocessing step to be useful. In the present work we introduce a methodology aimed at obtaining a single logwith all data related to team activities. To improve process analysis, such data log is semantically enriched by means of a multidimensional taxonomy capable of describing collaboration activities at various abstraction levels. We also introduce a case study to be used throughout the paper as an illustrative example.
A Methodology for Building Log of Collaboration Processes / Diamantini, Claudia; Genga, Laura; Potena, Domenico; Ribighini, Giuseppa. - STAMPA. - (2014), pp. 337-344. (Intervento presentato al convegno The 2014 International Conference on Collaboration Technologies and Systems).