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
Descripción
Sumario: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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