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ORKG Knowledge Graph

The Open Research Knowledge Graph is an open knowledge graph that structures scientific papers into machine-readable representations. Instead of only storing metadata, it captures research elements like methods, datasets, and results. It also enables semantic comparison and querying of scientific contributions across papers, making it easier to discover relationships and synthesize knowledge across large bodies of research.

ORKG Main Page
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Facts (latest release)

Facts in the latest published ORKG release.

3.1M+1.12%since last release

Distinct entities (latest release)

Uniquely identified entities in the KG.

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Published data (all releases)

All downloadable distributions across KG release history.

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Tracked KG releases

Number of historical releases available on Databus.

KG Explorer

Switch between modules and continue with a concrete action.

Tools

Practical options for downloading ORKG and setting up local querying.

Databus Python Client

Use the Databus Python client to fetch ORKG releases in a reproducible way, either for local analysis or automated workflows.

Get the latest ORKG release by running the following command in your terminal: 

docker run --rm \
  -v "$(pwd)":/data \
  dbpedia/databus-python-client \
  download https://databus.dbpedia.org/knowledge-graph-catalog/orkg

Check the Python client for downloading and deploying datasets on DBpedia Databus.

Virtuoso SPARQL Endpoint Quickstarter

Use Virtuoso Quickstarter to start a local SPARQL endpoint and explore the latest ORKG release by running the following commands in your terminal: 

git clone https://github.com/dbpedia/virtuoso-sparql-endpoint-quickstart.git
cd virtuoso-sparql-endpoint-quickstart
COLLECTION_URI=https://databus.dbpedia.org/knowledge-graph-catalog/collections/orkg-latest-release VIRTUOSO_ADMIN_PASSWD=YourSecretPassword docker-compose up

Note: After the triple store has started successfully and the data is loaded, you can query it at http://localhost:8890/sparql. Check the Virtuoso quickstarter repository for setup details and configuration options.