Proceedings of the Ninth Workshop on Hot Topics in Operating systems, USENIX Association, May 2003. Supercedes Carnegie Mellon School of Computer Science Technical Report CMU-CS-03-116. February 2003.
Craig A.N. Soules, Gregory R. Ganger
Electrical and Computer Engineering
Carnegie Mellon University
Pittsburgh, PA 15213
http://www.pdl.cmu.edu
Attribute-based naming enables powerful search and organization tools for ever-increasing user data sets. However, such tools are only useful in combination with accurate attribute assignment. Existing systems rely on user input and content analysis, but they have enjoyed minimal success. This paper discusses new approaches to automatically assigning attributes to files, including several forms of context analysis, which has been highly successful in the Google web search engine. With extensions like application hints (e.g., web links for down-loaded files) and inter-file relationships, it should be possible to infer useful attributes for many files, making attribute-based search tools more effective.
KEYWORDS: semantic, context, file system, search, attribute-based naming
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