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Bibliographic Details
Main Authors: Schuegraf, Ernst J., van Bommel, Martin F.
Format: Recurso educativo Open Access
Language:en
Published: 1993
Subjects:
Online Access:https://eric.ed.gov/?id=EJ476270
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author Schuegraf, Ernst J.
van Bommel, Martin F.
author_facet Schuegraf, Ernst J.
van Bommel, Martin F.
Schuegraf, Ernst J.
van Bommel, Martin F.
collection Education Resources Information Center
contents An Automatic Document Indexing System Based on Cooperating Expert Systems: Design and Development. Schuegraf, Ernst J. van Bommel, Martin F. Algorithms Automatic Indexing Computer Software Development Correlation Expert Systems Measurement Techniques Statistics Subject Index Terms Thesauri Vocabulary Word Frequency Describes the design of an automatic indexing system that is based on statistical techniques and expert system technology. Highlights include system architecture; the derivation of topic indicators, including word frequency; experimental results using documents from ERIC; the effects of stemming; and the identification of characteristic vocabularies for given subject areas. (Contains 17 references.) (LRW)
format Recurso educativo Open Access
id eric_EJ476270
institution ERIC Institute of Education Sciences
language en
publishDate 1993
record_format eric
spellingShingle An Automatic Document Indexing System Based on Cooperating Expert Systems: Design and Development.
Schuegraf, Ernst J.
van Bommel, Martin F.
Algorithms
Automatic Indexing
Computer Software Development
Correlation
Expert Systems
Measurement Techniques
Statistics
Subject Index Terms
Thesauri
Vocabulary
Word Frequency
An Automatic Document Indexing System Based on Cooperating Expert Systems: Design and Development. Schuegraf, Ernst J. van Bommel, Martin F. Algorithms Automatic Indexing Computer Software Development Correlation Expert Systems Measurement Techniques Statistics Subject Index Terms Thesauri Vocabulary Word Frequency Describes the design of an automatic indexing system that is based on statistical techniques and expert system technology. Highlights include system architecture; the derivation of topic indicators, including word frequency; experimental results using documents from ERIC; the effects of stemming; and the identification of characteristic vocabularies for given subject areas. (Contains 17 references.) (LRW)
title An Automatic Document Indexing System Based on Cooperating Expert Systems: Design and Development.
topic Algorithms
Automatic Indexing
Computer Software Development
Correlation
Expert Systems
Measurement Techniques
Statistics
Subject Index Terms
Thesauri
Vocabulary
Word Frequency
url https://eric.ed.gov/?id=EJ476270