Knowledge graphs in BERD and in NFDI

Shigapov, Renat

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25.11.2022_Shigapov_KGs_in_BERD_and_NFDI.pdf - Published

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URN: urn:nbn:de:bsz:180-madoc-638225
Document Type: Conference presentation
Year of publication: 2022
Conference title: Focused Tutorial on Capturing, Enriching, Disseminating Research Data Objects, Use Cases from Text+, NFDI4Culture and BERD@NFDI
Location of the conference venue: Mannheim, Germany
Date of the conference: 24.-25.11.2022
Related URLs:
Publication language: English
Institution: Zentrale Einrichtungen > University Library
Pre-existing license: Creative Commons Attribution 4.0 International (CC BY 4.0)
Subject: 004 Computer science, internet
Abstract: Knowledge graphs are able to capture, enrich and disseminate research data objects so that the FAIR and Linked Data principles are fulfilled. How knowledge graphs can improve the domain-specific (BERD) and cross-domain (NFDI) research data infrastructures? The answer is based on the use cases in BERD@NFDI and on activities of the NFDI working group “Knowledge graphs”. First, we describe the architecture, knowledge graphs and use cases in BERD@NFDI. Then, we present the NFDI working group “Knowledge Graphs”, its work plan and potential base services.

Das Dokument wird vom Publikationsserver der Universitätsbibliothek Mannheim bereitgestellt.

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