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Automatic classification of book material represented by back-of-the-book indexby: P. G. B. Enser
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AbstractReports a research project in which techniques for the automatic classification of book material were investigated. Focused on 3 fundamental issues: the computer-based surrogation on monographic material, the clustering of book surrogates on the basis of content association, and the evaluation of the resultant classifications. Describes a test collection of 250 books together with its surrogation by means of the complete back-of-the-book index, table of contents, title and Dewey classification code(s) of each volume. Discusses some properties of hierarchic and nonhierarchic automatic classifications of the test collection and evaluates them with reference to a small set of queries and relevance judgements. Reports a less formal evaluation of the classification in terms of the logical appeal of the cluster membership.
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