Published March 25, 2026 | Version v1
Poster Open

Applications of Plasma-KG, a knowledge graph for low-temperature plasma physics

  • 1. ROR icon Leibniz Institute for Plasma Science and Technology
  • 2. ROR icon FIZ Karlsruhe – Leibniz Institute for Information Infrastructure
  • 3. ROR icon Technische Informationsbibliothek (TIB)
  • 4. ROR icon Weierstrass Institute for Applied Analysis and Stochastics
  • 5. Technische Informationsbibliothek Universitätsbibliothek Hannover

Description

Knowledge graphs (KGs) play an important role in the structured representation and linking of data, information, and knowledge. As a result, knowledge graphs are finding broad application in the field of research data management. Building on the established plasma metadata schema Plasma-MDS and the plasma ontology Plasma-O, the development of Plasma-KG (https://vivo.plasma-mds.org) was initiated to represent reusable entities with persistent identifiers in the field of low-temperature plasma physics. This contribution introduces the essential concepts of Plasma-KG and shows how various data sources can be connected via these formally described entities. The addressed fields of application include content enrichment from knowledge graphs for patents, scientific articles, and mathematical models. It is demonstrated how the future physics information service "FID Physik" can benefit from Plasma-KG as a semantic data platform.

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DPG2026-Becker-Plasma-KG.pdf

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Additional details

Funding

Deutsche Forschungsgemeinschaft
Patents4Science – Development of an Information Infrastructure for the Use of Patent Knowledge in Science (P4SI) 496963457
Deutsche Forschungsgemeinschaft
FID Physics – a Specialised Information Service for Physics 558452925
Deutsche Forschungsgemeinschaft
MaRDI - Mathematical Research Data Initiative 460135501
Federal Ministry of Education and Research
Mehr-OA – Benefits of Open Access for Data-Driven Research and Development 16KOA013A
Federal Ministry of Education and Research
Mehr-OA – Benefits of Open Access for Data-Driven Research and Development 16KOA013B