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Lexically-generated subject hierarchies for browsing large collections
Authors:Craig G. Nevill-Manning  Ian H. Witten  Gordon W. Paynter
Affiliation:(1) Department of Computer Science, Rutgers, the State University of New Jersey, Piscataway, NJ 08854, USA; E-mail: nevill@cs.rutgers.edu, US;(2) Department of Computer Science, University of Waikato, Hamilton, New Zealand; E-mail: {ihw,gwp}@cs.waikato.ac.nz, NZ
Abstract:Developing intuition for the content of a digital collection is difficult. Hierarchies of subject terms allow users to explore the space of topics that a collection covers, to form and specialize useful query terms, and to directly identify interesting documents. We describe two interfaces for navigating such hierarchies, and present a technique for inferring hierarchies automatically from large corpora. We also discuss scalability issues for the techniques involved, and our solutions to these problems. Received: 15 December 1997 / Revised: June 1999
Keywords:: Browsing –   Hierarchies –   Inference –   Scalability –   Intuition
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