ShExML: improving the usability of heterogeneous data mapping languages for first-time users

Integration of heterogeneous data sources in a single representation is an active field with many different tools and techniques. In the case of text-based approaches—those that base the definition of the mappings and the integration on a DSL—there is a lack of usability studies. In this work we hav...

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Detalles Bibliográficos
Autores principales: García-González, Herminio, Boneva, Iovka, Staworko, Sławek, Labra-Gayo, José Emilio, Cueva Lovelle, Juan Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Human-Computer Interaction
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924692/
https://www.ncbi.nlm.nih.gov/pubmed/33816968
http://dx.doi.org/10.7717/peerj-cs.318
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author García-González, Herminio
Boneva, Iovka
Staworko, Sławek
Labra-Gayo, José Emilio
Cueva Lovelle, Juan Manuel
author_facet García-González, Herminio
Boneva, Iovka
Staworko, Sławek
Labra-Gayo, José Emilio
Cueva Lovelle, Juan Manuel
author_sort García-González, Herminio
collection PubMed
description Integration of heterogeneous data sources in a single representation is an active field with many different tools and techniques. In the case of text-based approaches—those that base the definition of the mappings and the integration on a DSL—there is a lack of usability studies. In this work we have conducted a usability experiment (n = 17) on three different languages: ShExML (our own language), YARRRML and SPARQL-Generate. Results show that ShExML users tend to perform better than those of YARRRML and SPARQL-Generate. This study sheds light on usability aspects of these languages design and remarks some aspects of improvement.
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spelling pubmed-79246922021-04-02 ShExML: improving the usability of heterogeneous data mapping languages for first-time users García-González, Herminio Boneva, Iovka Staworko, Sławek Labra-Gayo, José Emilio Cueva Lovelle, Juan Manuel PeerJ Comput Sci Human-Computer Interaction Integration of heterogeneous data sources in a single representation is an active field with many different tools and techniques. In the case of text-based approaches—those that base the definition of the mappings and the integration on a DSL—there is a lack of usability studies. In this work we have conducted a usability experiment (n = 17) on three different languages: ShExML (our own language), YARRRML and SPARQL-Generate. Results show that ShExML users tend to perform better than those of YARRRML and SPARQL-Generate. This study sheds light on usability aspects of these languages design and remarks some aspects of improvement. PeerJ Inc. 2020-11-23 /pmc/articles/PMC7924692/ /pubmed/33816968 http://dx.doi.org/10.7717/peerj-cs.318 Text en ©2020 García-González et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited.
spellingShingle Human-Computer Interaction
García-González, Herminio
Boneva, Iovka
Staworko, Sławek
Labra-Gayo, José Emilio
Cueva Lovelle, Juan Manuel
ShExML: improving the usability of heterogeneous data mapping languages for first-time users
title ShExML: improving the usability of heterogeneous data mapping languages for first-time users
title_full ShExML: improving the usability of heterogeneous data mapping languages for first-time users
title_fullStr ShExML: improving the usability of heterogeneous data mapping languages for first-time users
title_full_unstemmed ShExML: improving the usability of heterogeneous data mapping languages for first-time users
title_short ShExML: improving the usability of heterogeneous data mapping languages for first-time users
title_sort shexml: improving the usability of heterogeneous data mapping languages for first-time users
topic Human-Computer Interaction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924692/
https://www.ncbi.nlm.nih.gov/pubmed/33816968
http://dx.doi.org/10.7717/peerj-cs.318
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