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- W205845707 abstract "Discovering different types of file resources (such as documentation, programs, and images) in the vast amount of data contained within network file systems is useful for both users and system administrators. In this paper we discuss the Essence resource discovery system, which exploits file semantics to index both textual and binary files. By exploiting semantics, Essence extracts keywords that summarize a file, and generates a compact yet representative index. Essence understands nested file structures (such as uuencoded, compressed, ‘‘tar’’ files), and recursively unravels such files to generate summaries for them. These features allow Essence to be used in a number of useful settings, such as anonymous FTP archives. We present measurements of our prototype and compare them to related projects, such as the Wide Area Information Servers (WAIS) system and the MIT Semantic File System (SFS). We demonstrate that Essence can index more data types, generate smaller indexes, and in some cases index data faster than these systems. Our prototype generates WAIS-compatible indexes, allowing WAIS users to take advantage of the Essence indexing methods." @default.
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- W205845707 modified "2023-09-26" @default.
- W205845707 title "Essence: A Resource Discovery System Based on Semantic File Indexing" @default.
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