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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... (Update)
Context of citations to this paper: More
...novel ways to access information. There are many others systems that have interesting ideas and discuss related issues [7, 10, 14, 16, 18, 24, 37, 42]. In general, systems that are very flexible and powerful like Prospero do not have a consistency model, and systems that are...
.... The Essence summarizing subsystem After the Gatherer retrieves a document, it passes the document through a subsystem called Essence [10, 11] to extract indexing information. Essence allows the Gatherer to collect indexing information easily from a wide variety of information,...
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BibTeX entry: (Update)
Hardy D. R., and M. F. Schwartz, "Essence: A resource discovery system based on semantic file indexing, " Proc. of the USENIX Winter Conference, San Diego (January 1993), pp. 361-374. http://citeseer.ist.psu.edu/hardy93essence.html More
@inproceedings{ hardy93essence,
author = "Darren R. Hardy and Michael F. Schwartz",
title = "Essence: A Resource Discovery System Based on Semantic File Indexing",
booktitle = "{USENIX} Winter",
pages = "361-374",
year = "1993",
url = "citeseer.ist.psu.edu/hardy93essence.html" }
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69 A Comparison of Internet Resource Discovery Approaches - Schwartz, Emtage et al. - 1992
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44 Experience with a Semantically Cognizant Internet White Page.. - Schwartz, Tsirigotis - 1991
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