EMRBots: RDF Knowledge Graph for Clinical State Manager Evaluation

A 192.5 MB RDF knowledge graph derived from the EMRBots dataset, which simulates electronic medical records for 100 patients. The data was created by Ines Akaichi to evaluate the GUCON State Manager and is shared under a CC-BY-4.0 license. It was last updated on May 20, 2026.

Use Cases

• Evaluating clinical state management systems based on RDF knowledge graphs.
• Testing rule-based reasoning engines using simulated patient data.
• Benchmarking graph-based inference algorithms on medical event sequences.

Strengths

• Derived from a known simulation dataset of 100 patients.
• Shared under a permissive CC-BY-4.0 license.
• Data size of 192.5 MB suggests a non-trivial knowledge graph structure.

Limitations

• Row and column counts are unknown, making suitability assessment difficult.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description metadata is limited; actual data quality requires manual inspection.

Provenance

Source

Generated from the EMRBots dataset.

Collection Method

Transformed graph data into RDF knowledge base and rules.

Freshness

Last updated 2026-05-20 09:41:55; freshness should be verified.