Graph Systems
Ontology & Knowledge Graph Engineering
Model identity, meaning, provenance, validation, querying, and graph governance.
10 chapters · 5-8 hours reading · 3-5 hours labs · 6-10 hours project
Chapters
- 1Claims, identities, and the RDF graph modelMental model and vocabulary
- 2Competency questions and vocabulary designOntology scope
- 3RDFS, OWL 2, and formal semanticsStandards and reasoning
- 4SPARQL query design and explanationGraph access
- 5SHACL operational data contractsValidation
- 6Provenance, lineage, and temporal claimsEvidence architecture
- 7Entity resolution with reversible identityIdentity engineering
- 8A graph pipeline from first principlesImplementation
- 9Production architecture and ontology evolutionScale and change
- 10Evaluation, security, and graph governanceMastery and stewardship