ontology-engineer

Build a knowledge graph by designing OWL/RDF ontologies and SKOS taxonomies to enable semantic interoperability. Apply modularization and alignment workflows to structure domain models for advanced reasoning across diverse data landscapes.

Construct SPARQL queries by defining competency questions that map to your RDF knowledge graph structure. Generate graph-construction workflows and apply SHACL validation to ensure semantic consistency and accurate reasoning results across your domain model.

Yes, ontology design supports OWL2 DL/RL for advanced reasoning and SHACL validation for graph constraints. Validate large-scale domain models, apply modularization, and ensure alignment to maintain semantic consistency throughout the knowledge graph pipeline.

SKOS taxonomies enable vocabulary design and alignment within large-scale domain models. Combine SKOS with OWL/RDF ontologies to structure knowledge graphs, supporting modularization and semantic interoperability across diverse domain vocabularies and concepts.

Start building a minimal OWL file by creating a starter ontology for your target domain. Define one class and one property to establish the foundational graph structure, then expand iteratively using competency questions to guide your knowledge graph design.

Modularize ontologies when scaling domain models to maintain semantic interoperability and reasoning performance. Apply modularization during ontology design to isolate distinct domain concepts, enabling easier alignment, SHACL validation, and targeted SPARQL querying across large-scale knowledge graphs.