Applications of Plasma-KG, a knowledge graph for low-temperature plasma physics
Markus M. Becker, Markus Stocker, Ihda Chaerony Siffa, Hidir Aras, Burkhard Schmidt, Thomas Koprucki, Holger Israel
Zenodo (CERN European Organization for Nuclear Research)
Problems Identified (5)
Structured Knowledge Representation: Research data management requires structured representation and linking of data, information, and knowledge.
Persistent Entity Representation: Low-temperature plasma physics needs reusable entities represented with persistent identifiers.
Semantic Data Source Integration: Various data sources need to be connected through formally described entities.
Structured Knowledge Representation: Research data management requires structured representation and linking of data, information, and knowledge.
Persistent Entity Representation: Low-temperature plasma physics needs reusable entities represented with persistent identifiers.
Proposed Solutions (5)
Plasma-KG Knowledge Graph: Plasma-KG is developed as a knowledge graph for low-temperature plasma physics based on Plasma-MDS and Plasma-O.
Semantic Data Platform: Plasma-KG is positioned as a semantic data platform for the future physics information service FID Physik.
KG-Based Content Enrichment: The work applies content enrichment from knowledge graphs to patents, scientific articles, and mathematical models.
Plasma-KG Knowledge Graph: Plasma-KG is developed as a knowledge graph for low-temperature plasma physics based on Plasma-MDS and Plasma-O.
Semantic Data Platform: Plasma-KG is positioned as a semantic data platform for the future physics information service FID Physik.
Results (3)
Concept Introduction:
Data Source Connection Demonstration:
Application Coverage:
Research Domain
Research data management for low-temperature plasma physics