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

Herminio García-González | Zendy; Iovka Boneva | Zendy; Sławek Staworko | Zendy; José Emilio Labra Gayo | Zendy; Juan Manuel Cueva Lovelle | Zendy

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

Author(s) -

Herminio García-González,

Iovka Boneva,

Sławek Staworko,

José Emilio Labra Gayo,

Juan Manuel Cueva Lovelle

Publication year - 2020

Publication title -

peerj computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.806

H-Index - 24

ISSN - 2376-5992

DOI - 10.7717/peerj-cs.318

Subject(s) - usability , computer science , sparql , digital subscriber line , field (mathematics) , human–computer interaction , world wide web , programming language , rdf , semantic web , mathematics , telecommunications , pure mathematics

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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