Serveur d'exploration Cyberinfrastructure

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

Metadata Mapper: A web service for mapping data between independent visual analysis components, guided by perceptual rules

Identifieur interne : 000845 ( Main/Exploration ); précédent : 000844; suivant : 000846

Metadata Mapper: A web service for mapping data between independent visual analysis components, guided by perceptual rules

Auteurs : Bernice E. Rogowitz [États-Unis] ; Naim Matasci [États-Unis]

Source :

RBID : Pascal:11-0365347

Descripteurs français

English descriptors

Abstract

The explosion of online scientific data from experiments, simulations, and observations has given rise to an avalanche of algorithmic, visualization and imaging methods. There has also been enormous growth in the introduction of tools that provide interactive interfaces for exploring these data dynamically. Most systems, however, do not support the real-time exploration of patterns and relationships across tools and do not provide guidance on which colors, colormaps or visual metaphors will be most effective. In this paper, we introduce a general architecture for sharing metadata between applications and a "Metadata Mapper" component that allows the analyst to decide how metadata from one component should be represented in another, guided by perceptual rules. This system is designed to support "brushing [1]," in which highlighting a region of interest in one application automatically highlights corresponding values in another, allowing the scientist to develop insights from multiple sources. Our work builds on the component-based iPlant Cyberinfrastructure [2] and provides a general approach to supporting interactive, exploration across independent visualization and visual analysis components.


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en" level="a">Metadata Mapper: A web service for mapping data between independent visual analysis components, guided by perceptual rules</title>
<author>
<name sortKey="Rogowitz, Bernice E" sort="Rogowitz, Bernice E" uniqKey="Rogowitz B" first="Bernice E." last="Rogowitz">Bernice E. Rogowitz</name>
<affiliation wicri:level="1">
<inist:fA14 i1="01">
<s1>University of Texas, Austin and Visual Perspectives</s1>
<s3>USA</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<wicri:noRegion>University of Texas, Austin and Visual Perspectives</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Matasci, Naim" sort="Matasci, Naim" uniqKey="Matasci N" first="Naim" last="Matasci">Naim Matasci</name>
<affiliation wicri:level="1">
<inist:fA14 i1="02">
<s1>University of Arizona</s1>
<s3>USA</s3>
<sZ>2 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<wicri:noRegion>University of Arizona</wicri:noRegion>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">INIST</idno>
<idno type="inist">11-0365347</idno>
<date when="2011">2011</date>
<idno type="stanalyst">PASCAL 11-0365347 INIST</idno>
<idno type="RBID">Pascal:11-0365347</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">000035</idno>
<idno type="wicri:Area/PascalFrancis/Curation">000210</idno>
<idno type="wicri:Area/PascalFrancis/Checkpoint">000022</idno>
<idno type="wicri:doubleKey">0277-786X:2011:Rogowitz B:metadata:mapper:a</idno>
<idno type="wicri:Area/Main/Merge">000847</idno>
<idno type="wicri:Area/Main/Curation">000845</idno>
<idno type="wicri:Area/Main/Exploration">000845</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en" level="a">Metadata Mapper: A web service for mapping data between independent visual analysis components, guided by perceptual rules</title>
<author>
<name sortKey="Rogowitz, Bernice E" sort="Rogowitz, Bernice E" uniqKey="Rogowitz B" first="Bernice E." last="Rogowitz">Bernice E. Rogowitz</name>
<affiliation wicri:level="1">
<inist:fA14 i1="01">
<s1>University of Texas, Austin and Visual Perspectives</s1>
<s3>USA</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<wicri:noRegion>University of Texas, Austin and Visual Perspectives</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Matasci, Naim" sort="Matasci, Naim" uniqKey="Matasci N" first="Naim" last="Matasci">Naim Matasci</name>
<affiliation wicri:level="1">
<inist:fA14 i1="02">
<s1>University of Arizona</s1>
<s3>USA</s3>
<sZ>2 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<wicri:noRegion>University of Arizona</wicri:noRegion>
</affiliation>
</author>
</analytic>
<series>
<title level="j" type="main">Proceedings of SPIE, the International Society for Optical Engineering</title>
<title level="j" type="abbreviated">Proc. SPIE Int. Soc. Opt. Eng.</title>
<idno type="ISSN">0277-786X</idno>
<imprint>
<date when="2011">2011</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt>
<title level="j" type="main">Proceedings of SPIE, the International Society for Optical Engineering</title>
<title level="j" type="abbreviated">Proc. SPIE Int. Soc. Opt. Eng.</title>
<idno type="ISSN">0277-786X</idno>
</seriesStmt>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>Imagery</term>
<term>Real time systems</term>
<term>Visualization</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr">
<term>Système temps réel</term>
<term>Imagerie</term>
<term>Visualisation</term>
<term>0130C</term>
<term>4230</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">The explosion of online scientific data from experiments, simulations, and observations has given rise to an avalanche of algorithmic, visualization and imaging methods. There has also been enormous growth in the introduction of tools that provide interactive interfaces for exploring these data dynamically. Most systems, however, do not support the real-time exploration of patterns and relationships across tools and do not provide guidance on which colors, colormaps or visual metaphors will be most effective. In this paper, we introduce a general architecture for sharing metadata between applications and a "Metadata Mapper" component that allows the analyst to decide how metadata from one component should be represented in another, guided by perceptual rules. This system is designed to support "brushing [1]," in which highlighting a region of interest in one application automatically highlights corresponding values in another, allowing the scientist to develop insights from multiple sources. Our work builds on the component-based iPlant Cyberinfrastructure [2] and provides a general approach to supporting interactive, exploration across independent visualization and visual analysis components.</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>États-Unis</li>
</country>
</list>
<tree>
<country name="États-Unis">
<noRegion>
<name sortKey="Rogowitz, Bernice E" sort="Rogowitz, Bernice E" uniqKey="Rogowitz B" first="Bernice E." last="Rogowitz">Bernice E. Rogowitz</name>
</noRegion>
<name sortKey="Matasci, Naim" sort="Matasci, Naim" uniqKey="Matasci N" first="Naim" last="Matasci">Naim Matasci</name>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/CyberinfraV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000845 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000845 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Ticri/CIDE
   |area=    CyberinfraV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     Pascal:11-0365347
   |texte=   Metadata Mapper: A web service for mapping data between independent visual analysis components, guided by perceptual rules
}}

Wicri

This area was generated with Dilib version V0.6.25.
Data generation: Thu Oct 27 09:30:58 2016. Site generation: Sun Mar 10 23:08:40 2024