Please use this identifier to cite or link to this item: http://hdl.handle.net/11366/643
Title: The Research Core Dataset (KDSF) in Linked Data context
Authors: Walther, Tatiana 
Hauschke, Christian 
Kasprzik, Anna 
Keywords: research information management
Core Data Set (CDS)
linked open data
VIVO
Issue Date: 15-Jun-2018
Publisher: euroCRIS
Source: "FAIRness of Research Information": Proceedings of the 14th International Conference on Current Research Information Systems (CRIS2018)
Procedia Computer Science 146: 29-38 (2019)
Series/Report no.: CRIS2018: 14th International Conference on Current Research Information Systems (Umeå, June 13-16, 2018)
Conference: CRIS2018 – Umeå 
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.
Description: Presentation delivered at the CRIS2018 Conference Umeå within parallel session 11 "Models and Data Integration III"
Contains extended abstract accepted at the conference and presentation (36 slides) delivered at the event
URI: http://hdl.handle.net/11366/643
DOI: https://doi.org/10.1016/j.procs.2019.01.074
Appears in Collections:Conference

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Walther_Hauschke_CRIS2018_paper_KDSF.pdfExtended abstract (PDF)225.77 kBAdobe PDFView/Open
CRIS2018_WaltherT_HauschkeC_KDSF in LD Context.pdfPDF presentation1.61 MBAdobe PDFView/Open
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