Publikation:

Visual Feedback in Querying Large Databases

Vorschaubild

Dateien

Visual_Feedback_in_Querying_Large_Databases.pdf
Visual_Feedback_in_Querying_Large_Databases.pdfGröße: 41.26 KBDownloads: 305

Datum

1993

Autor:innen

Kriegel, Hans-Peter
Seidl, Thomas

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

URI (zitierfähiger Link)
http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-71018
DOI (zitierfähiger Link)
https://doi.org/10.1109/VISUAL.1993.398864
ArXiv-ID

Internationale Patentnummer

Link zur Lizenz
Attribution-NonCommercial-NoDerivs 2.0 Generic

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung
Open Access Green

Sammlungen

Informatik und Informationswissenschaft: Publikationen
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published

Erschienen in

Proceedings Visualization '93. IEEE Comput. Soc. Press, 1993, pp. 158-165. ISBN 0-8186-3940-7. Available under: doi: 10.1109/VISUAL.1993.398864

Zusammenfassung

In this paper, we describe a database query system that provides visual relevance feedback in querying large databases. The goal of our system is to support the query specification process by using each pixel of the display to represent one data item of the database. By arranging and coloring the pixels according to their relevance for the query, the user gets a visual impression of the resulting data set. Using sliders for each condition of the query, the user may change the query dynamically and receives immediate feedback by the visual representation of the resulting data set. By using multiple windows for different parts of a complex query, the user gets visual feedback for each part of the query and, therefore, will easier understand the overall result. The system may be used to query any database that contains tens of thousands to millions of data items, but it is especially helpful to explore large data sets with an unknown distribution of values and to find the interesting hot spots in huge amounts of data. The direct feedback allows to visually display the influence of incremental query refinements and, therefore, allows a better, easier and faster query specification.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

Konferenz

Proceedings Visualization '93, San Jose, CA, USA
Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Verknüpfte Datensätze

Zitieren

ISO 690KEIM, Daniel A., Hans-Peter KRIEGEL, Thomas SEIDL, 1993. Visual Feedback in Querying Large Databases. Proceedings Visualization '93. San Jose, CA, USA. In: Proceedings Visualization '93. IEEE Comput. Soc. Press, 1993, pp. 158-165. ISBN 0-8186-3940-7. Available under: doi: 10.1109/VISUAL.1993.398864
BibTex
@inproceedings{Keim1993Visua-5907,
  year={1993},
  doi={10.1109/VISUAL.1993.398864},
  title={Visual Feedback in Querying Large Databases},
  isbn={0-8186-3940-7},
  publisher={IEEE Comput. Soc. Press},
  booktitle={Proceedings Visualization '93},
  pages={158--165},
  author={Keim, Daniel A. and Kriegel, Hans-Peter and Seidl, Thomas}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/5907">
    <dc:contributor>Kriegel, Hans-Peter</dc:contributor>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5907/1/Visual_Feedback_in_Querying_Large_Databases.pdf"/>
    <dc:creator>Kriegel, Hans-Peter</dc:creator>
    <dc:contributor>Seidl, Thomas</dc:contributor>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:creator>Seidl, Thomas</dc:creator>
    <dcterms:title>Visual Feedback in Querying Large Databases</dcterms:title>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T16:01:18Z</dcterms:available>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:contributor>Keim, Daniel A.</dc:contributor>
    <dc:rights>Attribution-NonCommercial-NoDerivs 2.0 Generic</dc:rights>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:format>application/pdf</dc:format>
    <dcterms:abstract xml:lang="eng">In this paper, we describe a database query system that provides visual relevance feedback in querying large databases. The goal of our system is to support the query specification process by using each pixel of the display to represent one data item of the database. By arranging and coloring the pixels according to their relevance for the query, the user gets a visual impression of the resulting data set. Using sliders for each condition of the query, the user may change the query dynamically and receives immediate feedback by the visual representation of the resulting data set. By using multiple windows for different parts of a complex query, the user gets visual feedback for each part of the query and, therefore, will easier understand the overall result. The system may be used to query any database that contains tens of thousands to millions of data items, but it is especially helpful to explore large data sets with an unknown distribution of values and to find the interesting hot spots in huge amounts of data. The direct feedback allows to visually display the influence of incremental query refinements and, therefore, allows a better, easier and faster query specification.</dcterms:abstract>
    <dc:language>eng</dc:language>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5907/1/Visual_Feedback_in_Querying_Large_Databases.pdf"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T16:01:18Z</dc:date>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:creator>Keim, Daniel A.</dc:creator>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/5907"/>
    <dcterms:issued>1993</dcterms:issued>
    <dcterms:bibliographicCitation>First publ. in: Visualization '93 [fourth Annual IEEE Conference on Visualization]: proceedings, october 25 - 29, 1993, San Jose, California / Ed. by Gregory M. Nielson ... 	 Los Alamitos : IEEE Computer Soc. Pr., 1993, pp. 158-165</dcterms:bibliographicCitation>
    <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by-nc-nd/2.0/"/>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Nein
Begutachtet
Diese Publikation teilen