ShExML: improving the usability of ...
Document type :
Compte-rendu et recension critique d'ouvrage
DOI :
Title :
ShExML: improving the usability of heterogeneous data mapping languages for first-time users
Author(s) :
García-González, Herminio [Auteur correspondant]
Universidad de Oviedo = University of Oviedo
Boneva, Iovka [Auteur]
Linking Dynamic Data [LINKS]
Staworko, Sławek [Auteur]
Linking Dynamic Data [LINKS]
Labra-Gayo, José Emilio [Auteur]
Universidad de Oviedo = University of Oviedo
Cueva Lovelle, Juan Manuel [Auteur]
Universidad de Oviedo = University of Oviedo
Universidad de Oviedo = University of Oviedo
Boneva, Iovka [Auteur]

Linking Dynamic Data [LINKS]
Staworko, Sławek [Auteur]
Linking Dynamic Data [LINKS]
Labra-Gayo, José Emilio [Auteur]
Universidad de Oviedo = University of Oviedo
Cueva Lovelle, Juan Manuel [Auteur]
Universidad de Oviedo = University of Oviedo
Journal title :
PeerJ Computer Science
Pages :
27
Publisher :
PeerJ
Publication date :
2020-11-23
ISSN :
2376-5992
English keyword(s) :
Data integration
Data mapping
ShExML
YARRRML
Usability
SPARQL-Generate
Data mapping
ShExML
YARRRML
Usability
SPARQL-Generate
HAL domain(s) :
Informatique [cs]/Base de données [cs.DB]
English abstract : [en]
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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Popular science :
Non
Collections :
Source :
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