Knowledge assisted reverse engineering of virtual work processes

Abstract

Designing virtual workspaces is largely an ad-hoc activity, and it is difficult and expensive to obtain knowledge about actual collaborative work processes to aid this design. However, workspace configurations naturally emerge during project work. This article presents a design approach for virtual workspaces, combining data mining techniques for refining lower-level models with a reverse engineering cycle to create upper-level models.