ShExML: improving the usability of heterogeneous data mapping languages for first-time users
Herminio García-González, Iovka Boneva, Sławek Staworko, José Emilio Labra Gayo, Juan Manuel Cueva Lovelle · PeerJ Computer Science · 2020
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.