Treffer: Case-based reasoning meets information retrieval

Title:
Case-based reasoning meets information retrieval
Authors:
SMAIL, M, CREHANGE, M
Source:
Intelligent multimedia information retrieval systems and management (New York NY, October 11-12, 1994). :172-184
Publisher Information:
Paris: CID, 1994.
Publication Year:
1994
Physical Description:
print, 23 ref
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, 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, Intelligence artificielle, Artificial intelligence, Inteligencia artificial, Relation homme machine, Man machine relation, Relación hombre máquina, Application, Aplicación, Apprentissage, Learning, Aprendizaje, Banque image, Image databank, Banco imagen, Court terme, Short term, Corto plazo, Document iconographique, Iconographic document, Documento iconográfico, Flexibilité, Flexibility, Flexibilidad, Long terme, Long term, Largo plazo, Modèle, Models, Modelo, Paramétrisation, Parametrization, Parametrización, Prototype, Prototipo, Question documentaire, Query, Pregunta documental, Recherche documentaire, Document retrieval, Recuperación documental, Recherche développement, Research and development, Investigación desarrollo, Stratégie recherche, Search strategy, Estrategia investigación, Système adaptatif, Adaptive system, Sistema adaptativo, Traitement associé, Combined treatment, Tratamiento asociado, Typologie, Typology, Tipología, Besoin information, Information need, CABRI-N (Case-Based Retrieval of Information- Nancy), Instanciation, Mémorisation, Memorization, Raisonnement par cas, Case based reasoning, Type question, Query type
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
CNRS/CRIN, 54506 Vandœuvre-lès-Nancy, France
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=3555077
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
Notes:
Sciences of information and communication. Documentation

FRANCIS
Accession Number:
edscal.3555077
Database:
PASCAL Archive

Weitere Informationen

No single mechanism can be expected to give optimal retrieval in all cases in information retrieval (IR) in context. Many problems have been reported concerning the difficulty of making the right choices at the design stage of information retrieval systems. This paper presents a flexible model of information retrieval process together with a mechanism exploiting query typologies for instantiating the flexible model. The proposed model integrated in a single framework various alternative information retrieval primitives. This is possible thanks to attaching to every primitive strategic parameters which express different alternatives. We show how the parametized model can be combined with a Case-Based Reasoning (CBR) appraoch to incrementaly improve an information retrieval strategy.