Lexically-generated subject hierarchies for browsing large collections |
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Authors: | Craig G. Nevill-Manning Ian H. Witten Gordon W. Paynter |
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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 |
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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 |
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Keywords: | : Browsing – Hierarchies – Inference – Scalability – Intuition |
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