Everything for the users, nothing by the users: Lessons learnt from an heterogeneous data mapping languages user studyDownload PDF

Published: 23 Apr 2021, Last Modified: 05 May 2023KGCW 2021Readers: Everyone
Keywords: Data mapping languages, Data integration, Semantic Web, Usability
Abstract: Usability has been seen as a new requirement in the Semantic Web community. Heterogeneous data mapping languages enable users to create knowledge graphs from legacy datasets. Even though some of these tools claim to be user friendly, this is not empirically demonstrated. In this paper, we briefly describe our usability experiment with these languages and from its results we envisage next actions and problems that should be tackled in the topic. Covering them should lead to a better adoption among users.
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