Material status
This page reconstructs four Knowledge Engineering units from related, verified teaching materials. The checked sources do not preserve a direct historical session record for this exact sequence. The supplementary RDF Basics chapter is a draft, and some secondary archive paths may be outdated.
Learning Outcomes
- Distinguish conceptual models, vocabularies, ontologies and knowledge graphs
- Represent humanities entities and relations as RDF
- Design a domain ontology and document modelling decisions
- Query and evaluate knowledge graphs with SPARQL
- Reuse established vocabularies and authority data in a research model
Prerequisites
- Basic knowledge of Digital Humanities
- Basic understanding of data modelling
Sessions
Knowledge representation and graph modelling
Concepts, entities and relations as explicit components of a research model.
Topics
- Knowledge representation
- Graph models
- RDF and RDFS
MATERIALS:
Ontology engineering
Developing classes, properties and constraints for a humanities domain.
Topics
- Ontology design
- OWL
- Modelling patterns
MATERIALS:
SPARQL and knowledge-graph exploration
Querying graph structures and testing whether the model supports research questions.
Topics
- SPARQL
- Triple stores
- Query evaluation
MATERIALS:
Applying and evaluating a domain model
Connecting research data to reusable vocabularies and evaluating modelling choices.
Topics
- Vocabulary reuse
- Authority data
- Model documentation and evaluation
MATERIALS:
Resources
Essential Tools
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Protégé
Ontology editor for OWL
Free
Recommended Reading
Online Resources
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Archived Information Modelling materials
Source materials for RDF, SPARQL and ontology engineering.