The Operation And Performance Of An Artificially Intelligent Keywording System

    Authors

    J. R. Driscoll; D. A. Rajala; W. H. Shaffer;D. W. Thomas

    Comments

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    Abbreviated Journal Title

    Inf. Process. Manage.

    Abstract

    A new approach to text analysis for automating the key phrase indexing process, using artifical intelligence techniques, is presented. This new approach mimics the behavior of human experts by using a rule base consisting of "insertion" and "deletion" rules generated by subject-matter experts. The insertion rules are based on the idea that some phrases found in a text imply or trigger other phrases. The deletion rules apply to semantically ambiguous phrases were text presence alone does not determine appropriateness as a key phrase. The insertion and deletion rules are used to transform a list of found phrases to a list of key phrases for indexing a document. Statistical data are provided to demonstrate the performance of this expert rule based system.

    Journal Title

    Information Processing & Management

    Volume

    27

    Issue/Number

    1

    Publication Date

    1-1-1991

    Document Type

    Article

    Language

    English

    First Page

    43

    Last Page

    54

    WOS Identifier

    WOS:A1991EX75500004

    ISSN

    0306-4573

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