Treffer: Using categories to provide context for full-text retrieval results
Title:
Using categories to provide context for full-text retrieval results
Authors:
Source:
Intelligent multimedia information retrieval systems and management (New York NY, October 11-12, 1994). :115-130
Publisher Information:
Paris: CID, 1994.
Publication Year:
1994
Physical Description:
print,
Original Material:
INIST-CNRS
Subject Terms:
Documentation, 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, Structure et analyse des documents et de l'information, Information and document structure and analysis, Analyse des contenus, Content analysis, Indexation. Classification. Résumé. Synthèses, Indexing. Classification. Abstracting. Syntheses, Sciences de l'information et de la communication, Information and communication sciences, Traitement et recherche d'information, Informatique documentaire, Documentation data processing, Información documental, Algorithme, Algorithm, Algoritmo, Analyse contenu, Content analysis, Análisis contenido, Analyse documentaire, Document analysis, Análisis documental, Catégorisation, Categorization, Categorización, Classification automatique, Automatic classification, Clasificación automática, Grande dimension, Large dimension, Gran dimensión, Indexation, Indexing, Indización, Interface utilisateur, User interface, Interfase usuario, Multiple, Múltiple, Présentation information, Information layout, Presentación información, Recherche documentaire, Document retrieval, Recuperación documental, Représentation graphique, Graphics, Representación gráfica, Structuration, Estructuración, Texte intégral, Full text, Texto completo, Linguistique texte, Text linguistics, Orienté thème, Topic oriented
Document Type:
Konferenz
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Univ. California, computer sci. div., Berkeley CA 94720, United States
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.3553690
Database:
PASCAL Archive
Weitere Informationen
We address some issues relating to display of results of passage retrieval from full-text collections. We claim that displaying query results in terms of inter-documents similarity is inappropriate with long texts, and suggests instead assigning categories that correspond to documents'main topics. We argue that main topics of long texts should be represented by multiple categories, since in many case one category cannot adequately classify a text. We describe a new automatic categorization algorythm that does not require pre-labeled texts and a prototype browsing interface that presents a simple mechanism for displaying multi-dimensional information.