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MSE-KG · v2.1.1

The Materials Science and Engineering (MSE) Knowledge Graph

Semantic integration of distributed materials science resources — enabling structured discovery, cross-resource linkage, and machine-actionable reuse across datasets, publications, software, and domain actors.

Aligned with BFO and domain ontologies for full semantic interoperability.

🕐 Updated 07.04.2026 ~233K Triples Open Access 📦 RDF Dumps

MSE-KG Visualization

Explore the Knowledge Graph

📊

Dashboard

Visualizations, statistics, and interactive views of the graph's content, structure, and evolution over time.

Open Dashboard

🔍

SPARQL Endpoint

Perform queries, integrate data into workflows, and run federated queries across multiple sources.

Query Endpoint

🧭

SHMARQL Search

Guided semantic search and browse interface for users who want to explore the graph without writing queries.

Search Graph

✨

Sparklis Explorer

Natural language-style faceted exploration — no SPARQL knowledge required.

Explore

Graph Content at a Glance

👥

Community
Researchers, projects, universities, institutions

⚙️

Infrastructure
Software, workflows, vocabularies, facilities

🗃️

Data Resources
Repositories, publications, datasets, reference data

🎓

Education
Lectures, workshops, lecture notes

Ontological Foundation

The MSE KG is grounded in explicit ontological modeling using formal vocabularies that ensure logical interpretability across heterogeneous sources.

NFDIcore

The NFDI Core Ontology — provides the shared vocabulary for all NFDI consortia resources.

View Ontology

MWO

The MatWerk Ontology — domain-specific extensions for materials science and engineering.

View Ontology

Contribute Your Data

Grow the graph

The MSE KG improves with community contributions. Adding your data increases visibility and enables new connections across the materials science ecosystem.

📄 Spreadsheet / Tabular
Upload to Zenodo → auto-harvested

🔗 RDF / Ontology-aligned
Direct integration as named graph

🌐 SPARQL Endpoint
Register for federated access

🏷️ FAIR Digital Objects
Semi-automated FDO harvesting

Community & Coordination

🤝 LOD Working Group
Modeling decisions, onboarding, and integration strategies across institutions.
Join the Group

🐛 GitHub Issues
Report problems, propose mappings, or request new data types.

Open an Issue

🌍 NFDI-MatWerk
Broader consortium context and programme information.

Visit Website

How to Cite

If you use the MSE-KG in your research, please cite it using the metadata in our CITATION.cff:

@software{matwerk_kg,
  author    = {Norouzi, Ebrahim and Beygi Nasrabadi, Hossein
               and Singh, Gunjan and Algergawy, Alsayed
               and Waitelonis, J{\"o}rg and Sack, Harald},
  title     = {The Materials Science and Engineering
               Knowledge Graph (MSE KG)},
  url       = {https://github.com/ISE-FIZKarlsruhe/matwerk},
  version   = {2.1.1},
  date      = {2026-04-07},
}

The latest RDF dump is archived on Zenodo: DOI: 10.5281/zenodo.19452992