Knowledge graphs in BERD and in NFDI

Shigapov, Renat

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DOI:	https://doi.org/10.5281/ZENODO.7373258
URL:	https://zenodo.org/record/7373258
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:	https://www.berd-nfdi.de/focused-tutoria...
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.