Walther, T.; Hauschke, C.; Kasprzik, A.: The Research Core Dataset (KDSF) in the Linked Data context. In: Sicilia, M.-A.; Simons, E.; Clements, A.; Castro, P. de; Bergström, J. (Eds.): 14th International Conference on Current Research Information Systems, CRIS2018, FAIRness of Research Information. Amsterdam [u.a.] : Elsevier, 2019 (Procedia computer science ; 146), S. 29-38. DOI: https://doi.org/10.1016/j.procs.2019.01.074
Abstract: | |
This paper describes our efforts to implement the Research Core Dataset (“Kerndatensatz Forschung”; KDSF) as an ontology in VIVO. KDSF is used in VIVO to record the required metadata on incoming data and to produce reports as an output. While both processes need an elaborate adaptation of the KDSF specification, this paper focusses on the adaptation of the KDSF basic data model for recording data in VIVO. In this context, the VIVO and KDSF ontologies were compared with respect to domain, syntax, structure, and granularity in order to identify correspondences and mismatches. To produce an alignment, different matching approaches have been applied. Furthermore, we made necessary modifications and extensions on KDSF classes and properties. | |
License of this version: | CC BY-NC-ND 4.0 Unported |
Document Type: | BookPart |
Publishing status: | publishedVersion |
Issue Date: | 2019 |
Appears in Collections: | An-Institute |
pos. | country | downloads | ||
---|---|---|---|---|
total | perc. | |||
1 | Germany | 116 | 65.91% | |
2 | United States | 22 | 12.50% | |
3 | China | 7 | 3.98% | |
4 | South Africa | 6 | 3.41% | |
5 | Austria | 4 | 2.27% | |
6 | France | 3 | 1.70% | |
7 | Europe | 3 | 1.70% | |
8 | Czech Republic | 3 | 1.70% | |
9 | No geo information available | 2 | 1.14% | |
10 | Ukraine | 2 | 1.14% | |
other countries | 8 | 4.55% |
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