Knowledge graphs - working group charter (NFDI section-metadata)


Stocker, Markus ; Rossenova, Lozana ; Shigapov, Renat ; Betancort, Noemi ; Dietze, Stefan ; Murphy, Bridget ; Bölling, Christian ; Schubotz, Moritz ; Koepler, Oliver


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DOI: https://doi.org/10.5281/zenodo.7515324
URL: https://zenodo.org/record/7515324
URN: urn:nbn:de:bsz:180-madoc-638234
Document Type: Working paper
Year of publication: 2022
The title of a journal, publication series: Zenodo : Research Shared
Place of publication: Geneva
Publishing house: CERN
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
Keywords (English): NFDI , Base4NFDI , FAIR principles , knowledge graph , research data management , knowledge graphs
Abstract: Knowledge Graphs are a key technology for implementing the FAIR principles in data infrastructures by ensuring interoperability for both humans and machines. The Working Group "Knowledge Graphs" in Section "(Meta)data, Terminologies, Provenance" of the German National Research Data Infrastructure (Nationale Forschungsdateninfrastruktur (NFDI) e.V.) aims to promote the use of knowledge graphs in all NFDI consortia, to facilitate cross-domain data interlinking and federation following the FAIR principles, and to contribute to the joint development of tools and technologies that enable transformation of structured and unstructured data into semantically reusable knowledge across different domains.




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