See how it all connects
The lessons carry 340+ cross-references from Confluence. The knowledge map renders them as an interactive graph — the kind of connected view that was impossible when everything lived on flat wiki pages.
Semantic Arts training
Technical & research training — ontologies, RDF/SPARQL, tooling, and methodology. Pick a path, track your progress, and see how the topics connect.
This portal is the firm’s Technical & Research Resources — 240+ lessons migrated out of Confluence into open Markdown we own. Because the content is now structured data, it does more than a wiki: it’s searchable, editable in place, navigable by learning path, tracks your progress, and surfaces the connections between topics as a live map.
Your progress0 / 239 lessons
Continue where you left off →Start here0/5
Foundations0/16
Modeling & ontologies0/114
Tools & technology0/57
Practice & team0/38
Reference0/9
How to use this
Section titled “How to use this”- Pick a learning path below or from the sidebar — start with New ontologist orientation.
- Mark lessons complete as you go; the progress bars above and the sidebar checkmarks update automatically (saved in your browser).
- Follow the “related lessons” at the bottom of each page, or open the knowledge map to explore visually.
- Search anything with the search box up top.
Start here
Section titled “Start here”New ontologist orientationOnboarding for new ontologists — the recommended first path.
Foundations
Section titled “Foundations”Data-centricityThe data-centric approach and why it matters.
Data-centric methodologyDocumenting how we work.
Knowledge graphs & knowledge basesCore KG / KB concepts.
URIsNaming and resolving identifiers.
Semantic slumsAnti-patterns to avoid.
Modeling & ontologies
Section titled “Modeling & ontologies”OntologyCore ontology modeling and design.
Ontology quality metricsMeasuring and improving quality.
LanguagesRDF, OWL, SHACL, SPARQL, and related standards.
Tools & technology
Section titled “Tools & technology”Ontology toolsProtégé, TopBraid, serializers, and editors.
Graph technologyGraph databases and technology analysis.
Triple storesRunning and evolving triple stores.
Software & dev toolsDocker, GitHub, environments.
Data sourcesWorking with external data.
Practice & team
Section titled “Practice & team”SquadsTeam squads and collaboration.
Dialog mappingThe dialog-mapping technique.
AI usageUsing AI tools in our work.
Encryption & securitySecurity topics.
Conferences & workshopsTalks, events, and workshops.
Reference
Section titled “Reference”Reference how-tosSSH, shell, utilities, NLP, RDF 1.2, and more.