Applications of Plasma-KG, a knowledge graph for low-temperature plasma physics
Authors/Creators
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.
Files
DPG2026-Becker-Plasma-KG.pdf
Files
(741.3 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:0b44197f2e3a0277c37a8230ce4e86c9
|
741.3 kB | Preview Download |
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