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Treffer: A thesaurus data model for an intelligent retrieval system

Title:
A thesaurus data model for an intelligent retrieval system
Authors:
Source:
Journal of information science. 19(3):167-178
Publisher Information:
East Grinstead: Bowker-Saur, 1993.
Publication Year:
1993
Physical Description:
print, 10 ref
Original Material:
INIST-CNRS
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
City univ., dep. information sci., cent. interactive systems res., London EC1V 0HB, United Kingdom
ISSN:
0165-5515
Rights:
Copyright 1993 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.4765819
Database:
PASCAL Archive

Weitere Informationen

This paper demonstrates the application of conventional database design techniques to thesaurus representation. The thesaurus is considered as a printed document, as a semantic net, and as a relational database to be used in conjunction with an intelligent information retrieval system. Some issues raised by analysis of two standard thesauri include: the prevalence of compound terms and the representation of term structure; thesaurus redundancy and the extent to which it can be eliminated in machine-readable versions; the difficulty of exploiting thesaurus knowledge originally designed for human rather than automatic interpretation; deriving «strength of association» measures between terms in a thesaurus considered as a semantic net, facet representation and the need for variations in the data model to cater for structural differences between thesauri.