Michael Muller (IBM research) presents an approach to aggregate activity relevant data based on a tag search. It allows the collection of information (tasks, documents, booksmarks, etc.) into an "activity", based on the tags asscoiated with the objects. An activity can be a document, a task, or a person. This research is part of IBMs work on activity centric computing and it fits very nicely with the Ecospace concept of an activity space.  The evaluation of the system has shown that consitent tagging is eesential to make the approach successful. Thus Michael suggest research in tag quality metrics. It also raise the question if we need a folksonomie or a taxonomie to make such an approach successful.

Related sidebar systems are: Mircosoft Side Show and Vista, Desktop Sidebar, Google Sidebar. Related systems based on implicit query by user activity: Watson, Dahsboard, Tasktracer.