myKG turns mixed documents into confidence-scored knowledge graphs
JeremyCMorgan · x · 2026-07-28
myKG is a knowledge-graph extractor that turns mixed documents into an RDFS/OWL-grounded graph while attaching confidence and provenance to every edge.
The project’s key design choice is to leave uncertain values as unknown instead of turning guesses into facts. That makes it less of a flashy demo and more of a trust-oriented pipeline for KG extraction.
The GitHub repository also suggests a practical workflow around:
- ingesting Markdown, text, PDF, Office files, HTML, and images
- generating confidence-scored outputs
- supporting human review and reruns from specific pipeline steps
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