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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...
Autores principales: | , , |
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Lenguaje: | eng |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-030-38919-2_30 http://cds.cern.ch/record/2799967 |
_version_ | 1780972603657158656 |
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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 |
record_format | invenio |
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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