Title

The Operation And Performance Of An Artificially Intelligent Keywording System

Abstract

A new approach to text analysis for automating the key phrase indexing process, using artificial 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 where 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. © 1991.

Publication Date

1-1-1991

Publication Title

Information Processing and Management

Volume

27

Issue

1

Number of Pages

43-54

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1016/0306-4573(91)90030-P

Socpus ID

28144439498 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/28144439498

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