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

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

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 >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

ANR Project :

Spécification intensive en Coq d'intégration de données orientée sécurité

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL