<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-17T06:16:50Z</responseDate><request verb="GetRecord" identifier="oai:gredos.usal.es:10366/145626" metadataPrefix="mods">https://gredos.usal.es/oai/request</request><GetRecord><record><header><identifier>oai:gredos.usal.es:10366/145626</identifier><datestamp>2022-02-07T15:41:03Z</datestamp><setSpec>com_10366_4549</setSpec><setSpec>com_10366_4512</setSpec><setSpec>com_10366_3823</setSpec><setSpec>col_10366_4553</setSpec></header><metadata><mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
<mods:name>
<mods:namePart>Vázquez Ingelmo, Andrea</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>García-Holgado, Alicia</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>García-Peñalvo, Francisco J.</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Therón Sánchez, Roberto</mods:namePart>
</mods:name>
<mods:extension>
<mods:dateAvailable encoding="iso8601">2021-04-07T08:21:22Z</mods:dateAvailable>
</mods:extension>
<mods:extension>
<mods:dateAccessioned encoding="iso8601">2021-04-07T08:21:22Z</mods:dateAccessioned>
</mods:extension>
<mods:originInfo>
<mods:dateIssued encoding="iso8601">2021</mods:dateIssued>
</mods:originInfo>
<mods:identifier type="citation">Vázquez-Ingelmo, A., García-Holgado, A., García-Peñalvo, F. J., &amp; Therón, R. (2021). A Meta-modeling Approach to Take into Account Data Domain Characteristics and Relationships in Information Visualizations. In Á. Rocha, H. Adeli, G. Dzemyda, F. Moreira, &amp; A. M. Ramalho Correia (Eds.), Trends and Innovations in Information Systems and Technologies, WorldCIST 2021 (Vol. 2, pp. 570-580). Springer Nature. https://doi.org/10.1007/978-3-030-72651-5_54</mods:identifier>
<mods:identifier type="isbn">978-3-030-72651-5</mods:identifier>
<mods:identifier type="uri">http://hdl.handle.net/10366/145626</mods:identifier>
<mods:identifier type="doi">10.1007/978-3-030-72651-5_54</mods:identifier>
<mods:abstract>[EN]Visual explanations are powerful means to convey information to large&#xd;
audiences. However, the design of information visualizations is a complex task, because a lot of factors are involved (the audience profile, the data domain, etc.).&#xd;
The complexity of this task can lead to poor designs that could make users reach&#xd;
wrong conclusions from the visualized data. This work illustrates the process of&#xd;
identifying features that could make an information visualization confusing or&#xd;
even misleading with the goal of arranging them into a meta-model. The metamodel&#xd;
provides a powerful resource to automatically generate information visualizations&#xd;
and dashboards that take into account not only the input data, but also&#xd;
the audience’s characteristics, the available data domain knowledge and even the&#xd;
data context.</mods:abstract>
<mods:language>
<mods:languageTerm>eng</mods:languageTerm>
</mods:language>
<mods:accessCondition type="useAndReproduction">http://creativecommons.org/licenses/by-nc-sa/4.0/</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">info:eu-repo/semantics/openAccess</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">Atribución-NoComercial-CompartirIgual 4.0 Internacional</mods:accessCondition>
<mods:subject>
<mods:topic>Data visualization</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Information visualization</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Misleading visualizations</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Feature identification</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Meta-modeling</mods:topic>
</mods:subject>
<mods:titleInfo>
<mods:title>A Meta-modeling Approach to Take into Account Data Domain Characteristics and Relationships in Information Visualizations</mods:title>
</mods:titleInfo>
<mods:genre>info:eu-repo/semantics/bookPart</mods:genre>
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