• Using database schemas to dete...

Treffer: Using database schemas to detect relevant information

Title:
Using database schemas to detect relevant information
Authors:
DRISCOLL, J, THEIS, G, BILLINGS, G
Source:
TREC-3: text retrieval conferenceNIST special publication. (500225):373-383
Publisher Information:
Gaithersburg, MD: National Institute of Standards and Technology, 1995.
Publication Year:
1995
Physical Description:
print, 4 ref
Original Material:
INIST-CNRS
Subject Terms:
Science technology, industry, Sciences et technologies, industries, 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, Recherche de l'information. Relation homme machine, Information retrieval. Man machine relationship, Sciences de l'information et de la communication, Information and communication sciences, Traitement et recherche d'information, Informatique documentaire, Documentation data processing, Información documental, Base donnée répartie, Distributed database, Base repartida dato, Etude cas, Case study, Estudio caso, Filtrage, Filtering, Filtrado, Modélisation, Modeling, Modelización, Recherche documentaire, Document retrieval, Recuperación documental, Système recherche, Search system, Sistema investigación, TREC-3
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Univ. Cent. Florida, dep. computer sci., Orlando FL 32816, United States
ISSN:
1048-776X
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=2484574
Rights:
Copyright 1997 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.2484574
Database:
PASCAL Archive

Weitere Informationen

The Entity-Relationship (ER) Model is used as a basis for descriptions of information preferences (profiles) in the information filtering process. We view a profile as having both a static aspect and a dynamic aspect. It is shown that the static aspect of a profile can be represented as an ER schema ; and the dynamic aspect of the profile can be represented by synonyms of schema components and domain values for schema attributes. The TREC-3 filtering task is accomplished using this technique to generate a custom filter for each routing topic. These are true filters in the sense that each one moves across the entire document collection to produce the TREC ranked list results. Our network environment to allow any number of filters to run simultaneously is also described.