Dataset Reuse: An Analysis of References in Community Discussions, Publications and Data

Abstract : Following the Linked Data principles means maximising the reusabi-lity of data over the Web. Reuse of datasets can become apparent when datasets are linked to from other datasets, and referred in scientific articles or community discussions. It can thus be measured, similarly to citations of papers. In this paper we propose dataset reuse metrics and use these metrics to analyse indications of dataset reuse in different communication channels within a scientific community. In particular we consider mailing lists and publications in the Semantic Web community and their correlation with data interlinking. Our results demonstrate that indications of dataset reuse across different communication channels and reuse in terms of data interlinking are positively correlated.
Type de document :
Communication dans un congrès
K-CAP 2017, Dec 2017, Austin, United States. pp.Article No. 5 〈10.1145/3148011.3154461〉
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https://hal-emse.ccsd.cnrs.fr/emse-01639661
Contributeur : Florent Breuil <>
Soumis le : lundi 20 novembre 2017 - 15:05:58
Dernière modification le : lundi 28 mai 2018 - 13:38:02

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Kemele Endris, José Giménez-García, Antoine Zimmermann, Christoph Lange, Harsh Thakkar, et al.. Dataset Reuse: An Analysis of References in Community Discussions, Publications and Data. K-CAP 2017, Dec 2017, Austin, United States. pp.Article No. 5 〈10.1145/3148011.3154461〉. 〈emse-01639661〉

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