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The HyperBagGraph DataEdron: An Enriched Browsing Experience of Datasets

Traditional verbatim browsers give back information linearly according to a ranking performed by a search engine that may not be optimal for the surfer. The latter may need to assess the pertinence of the information retrieved, particularly when s·he wants to explore other facets of a multi-facetted...

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Detalles Bibliográficos
Autores principales: Ouvrard, Xavier, Le Goff, Jean-Marie, Marchand-Maillet, Stéphane
Lenguaje:eng
Publicado: 2020
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-030-38919-2_30
http://cds.cern.ch/record/2799967
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author Ouvrard, Xavier
Le Goff, Jean-Marie
Marchand-Maillet, Stéphane
author_facet Ouvrard, Xavier
Le Goff, Jean-Marie
Marchand-Maillet, Stéphane
author_sort Ouvrard, Xavier
collection CERN
description Traditional verbatim browsers give back information linearly according to a ranking performed by a search engine that may not be optimal for the surfer. The latter may need to assess the pertinence of the information retrieved, particularly when s·he wants to explore other facets of a multi-facetted information space. Simultaneous facet visualisation can help to gain insights into the information retrieved and call for further refined searches. Facets are potentially heterogeneous cooccurrence networks, built choosing at least one reference type, and modeled by HyperBag-Graphs—families of multisets on a given universe. References allow to navigate inside the dataset and perform visual queries. The approach is illustrated on Arxiv scientific pre-prints searches.
id cern-2799967
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2020
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spelling cern-27999672022-01-25T22:16:59Zdoi:10.1007/978-3-030-38919-2_30http://cds.cern.ch/record/2799967engOuvrard, XavierLe Goff, Jean-MarieMarchand-Maillet, StéphaneThe HyperBagGraph DataEdron: An Enriched Browsing Experience of DatasetsComputing and ComputersTraditional verbatim browsers give back information linearly according to a ranking performed by a search engine that may not be optimal for the surfer. The latter may need to assess the pertinence of the information retrieved, particularly when s·he wants to explore other facets of a multi-facetted information space. Simultaneous facet visualisation can help to gain insights into the information retrieved and call for further refined searches. Facets are potentially heterogeneous cooccurrence networks, built choosing at least one reference type, and modeled by HyperBag-Graphs—families of multisets on a given universe. References allow to navigate inside the dataset and perform visual queries. The approach is illustrated on Arxiv scientific pre-prints searches.oai:cds.cern.ch:27999672020
spellingShingle Computing and Computers
Ouvrard, Xavier
Le Goff, Jean-Marie
Marchand-Maillet, Stéphane
The HyperBagGraph DataEdron: An Enriched Browsing Experience of Datasets
title The HyperBagGraph DataEdron: An Enriched Browsing Experience of Datasets
title_full The HyperBagGraph DataEdron: An Enriched Browsing Experience of Datasets
title_fullStr The HyperBagGraph DataEdron: An Enriched Browsing Experience of Datasets
title_full_unstemmed The HyperBagGraph DataEdron: An Enriched Browsing Experience of Datasets
title_short The HyperBagGraph DataEdron: An Enriched Browsing Experience of Datasets
title_sort hyperbaggraph dataedron: an enriched browsing experience of datasets
topic Computing and Computers
url https://dx.doi.org/10.1007/978-3-030-38919-2_30
http://cds.cern.ch/record/2799967
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