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Using content analysis to support the noise detechtion and visualization of shared workspaces
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Datum
2005
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Verlag
Oldenbourg Verlag
Zusammenfassung
Shared workspace systems provide virtual places for self-organized and semi-structured cooperation
between local and distributed users. These systems are adopted by a large community over the past
years and the volume of information managed by these systems is expanding rapidly. A problem that
occurs frequently using these systems is the missing user support for the workspace organization and
assistance for finding the right place for storing new contributions. This often results in weakly organized
workspaces making it difficult to find documents. Current systems do not provide support for the
identification of the homogeneity of the workspace content. Thus, support to find noisy documents and
providing appropriate alternative locations is missing. This paper presents a solution that helps to detect
such noise in workspaces and to provide alternative suggestions for the workspace organization. The
visualization of the inter-folder similarity in workspaces helps users to find redundant folders and to
reorganize the workspace hierarchy. The support for finding similar documents to a given document
helps users to find related documents easily.