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Using content analysis to support the noise detechtion and visualization of shared workspaces

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.