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Semantic file systems enable users to search for files based on attributes rather than just pre-assigned names. This paper develops and evaluates several new approaches to automatically generating file attributes based on context, complementing existing approaches based on content analysis. Based on this study of ten systems over four months, the addition of context-based mechanisms, on average, reduces the number of files with zero attributes by 73%. This increases the total number of classifiable files by over 25% in most cases.
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