Automatic capturing resolution software system supports collaborative work of group discussion

Abstract EN

Computer system support capturing resolution has to deal with adapting jjroperties of a shared discussion space as well as with adapting properties of the cooperation support to capturing resolution.

An algorithm is developed to capture a resolution manually by using a system called MUCH (Multiple Users (Treating Hypertext).

In this paper, the Capturing Resolution System (CRS) Has been implemented to capture a resolution of a discussion automatically.

( > ne of the difficulties caused by methodological requireme tits during operation i : the differentiation points about the content size of node, which is referred to iji hypertext terminology as the problem of granularity.

The CRS system was used in a case study to support a discussion.

The data o| the case study was ajnalyzed.

The finding of the conducted study implies thatjboth the correctness content and size of a node has serious effects on the} diminishing of the disorientation problem by reducing the number of nodes and in turn reduces the n'amber of links.

Furthermore, applying the resolution algorithm reduces the number of nodes included in the resolution and in turn reduces the size of the output text.

Future extensions to our work are outlined based on the weaknesses and limitations revealed by the studies.