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Treffer: Colinked descriptors : Improving vocabulary selection for end-user searching

Title:
Colinked descriptors : Improving vocabulary selection for end-user searching
Source:
Journal of the American Society for Information Science. 47(4):311-325
Publisher Information:
New York, NY: John Wiley & Sons, 1996.
Publication Year:
1996
Physical Description:
print, 27 ref
Original Material:
INIST-CNRS
Subject Terms:
Documentation, Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences et techniques communes, Sciences and techniques of general use, Sciences de l'information. Documentation, Information science. Documentation, Traitement et recherche de l'information, Information processing and retrieval, Outils linguistiques et logiques, Logical and linguistic tools, Terminologie. Lexiques. Thésaurus, Terminology. Lexicons. Thesaurus, Sciences de l'information et de la communication, Information and communication sciences, Traitement et recherche d'information, Informatique documentaire, Documentation data processing, Información documental, Analyse automatique, Automatic analysis, Análisis automático, Analyse mots associés, Coword analysis, Análisis palabras asociadas, Application, Aplicación, Bibliométrie, Bibliometrics, Bibliometría, Conception système, System design, Concepción sistema, Descripteur, Descriptor, Etude expérimentale, Experimental study, Estudio experimental, Lien, Link, Vínculo, Méthode, Method, Método, Recherche bibliographique, Bibliographic search, Investigación bibliográfica, Recherche documentaire, Document retrieval, Recuperación documental, Système recherche, Search system, Sistema investigación, Terme indexation, Indexing term, Término indización, Test hypothèse, Hypothesis test, Test hipótesis, Thesaurus, Tesaurus, Colinked Descriptor Hypothesis, Descripteur colié, Colinked descriptor, ERIC
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
School of Library and Information Science, Indiana University, Bloomington, IN 47405, United States
ISSN:
0002-8231
Rights:
Copyright 1996 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Sciences of information and communication. Documentation

FRANCIS
Accession Number:
edscal.3026203
Database:
PASCAL Archive

Weitere Informationen

This article introduces a new concept and technique for information retrieval called colinked descriptors. Borrowed from an analogous idea in bibliometrics-cocited references-colinked descriptors provide a theory and method for identifying search terms that, by hypothesis, will be superior to those entered initially by a searcher. The theory suggests a means of moving automatically from two or more initial search terms, to other terms that should be superior in retrieval performance to the two original terms. A research project designed to test this colinked descriptor hypothesis is reported. The results suggest that the approach is effective, although methodological problems in testing the idea are reported. Algorithms to generate colinked descriptors can be incorporated easily into system interfaces, front-end or pre-search systems, or help software, in any database that employs a thesaurus. The potential use of colinked descriptors is a strong argument for building richer and more complex thesauri that reflect as many legitimate links among descriptors as possible.