Journal
PEERJ COMPUTER SCIENCE
Volume -, Issue -, Pages -Publisher
PEERJ INC
DOI: 10.7717/peerj-cs.318
Keywords
Data integration; Data mapping; ShExML; YARRRML; Usability; SPARQL-Generate
Categories
Funding
- Ministry of Economy, Industry and Competitiveness [TIN2017-88877-R]
- ANR [DataCert ANR-15-CE39-0009]
- CPER Nord-Pas de Calais/FEDER DATA Advanced data sciences 2015~2020
- Principality of Asturias [BP17-29]
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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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