Automatic Structuring of Text Files

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Authors
Salton, Gerard
Buckley, Chris
Allan, James
Abstract

In many practical information retrieval situations, it is necessary to process heterogeneous text databases that vary greatly in scope and coverage, and deal with many different subjects. In such an environment it is important to provide flexible access to individual text pieces, and to structure the collection so that related text elements are identified and appropriately linked. Methods are described in this study for the automatic structuring of heterogeneous text collections, and the construction of browsing tools and access procedures that facilitate collection use. The proposed methods are illustrated by performing searches with a large automated encyclopedia.

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1991-10
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Cornell University
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computer science; technical report
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http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR91-1241
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technical report
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