Treffer: Efficient retrieval of partial documents
Title:
Efficient retrieval of partial documents
Authors:
Source:
TREC-2 : text retrieval conferenceInformation processing & management. 31(3):361-377
Publisher Information:
Oxford: Elsevier Science, 1995.
Publication Year:
1995
Physical Description:
print, 15 ref
Original Material:
INIST-CNRS
Subject Terms:
Information and communication sciences, Sciences de l'information communication, 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, Systèmes de recherche d'informations. Système de gestion documentaire et d'information, Information retrieval systems. Information and document management system, Systèmes de recherche d'information, Information retrieval systems, Sciences de l'information et de la communication, Information and communication sciences, Système de recherche documentaire. Système de gestion documentaire et d'information, Informatique documentaire, Documentation data processing, Información documental, Compression donnée, Data compression, Compresión dato, Efficacité, Efficiency, Eficacia, Essai, Test, Ensayo, Fichier inverse, Inverted file, Archivo invertido, Grande dimension, Large dimension, Gran dimensión, Index, Index (documentation), Indice, Partition, Partición, Recherche documentaire, Document retrieval, Recuperación documental, Texte, Text, Texto, Traitement document, Document processing, Tratamiento documento, Collectiont test, Test collection, Modèle espace vectoriel, Vector space model, TREC (Text Retrieval Conference), TREC-2
Document Type:
Konferenz
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
dep. computer sci., Melbourne 3001, Australia
ISSN:
0306-4573
Rights:
Copyright 1995 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
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
FRANCIS
Accession Number:
edscal.3601534
Database:
PASCAL Archive
Weitere Informationen
Management and retrieval of large volumes of text can be expensive in both space and time. Moreover, the range of document sizes in a large collection such as TREC presents difficulties for both the retrieval mechanism and the user. We consider division of documents into parts as a solution to the problem of the range of document sizes, and show that, for databases with long documents, use of document parts can improve the quality of the information presented to the user. We also describe the compressed text database system we use to manage the TREC collection; the compressed inverted files with which it is indexed; and the techniques we use to evaluate the TREC queries, both on whole documents and on document parts.