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structures (SQL databases, file-based records) onto a semantic knowledge graph using RDF, OWL, and related technologies Designing and implementing workflows for data ingestion, integration, and querying across
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Framework (RDF). enables advanced data mining queries using the SPARQL query language. provides a natural language-based interface to perform these queries on the knowledge graph using a large language model
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
preference for experience using tools like Kedro, Airflow, Snakemake, or similar. Understanding of semantic modeling and ontology use. (e.g., Biolink, RDF/OWL, OBO ontologies) Proficiency in Python and
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experience: Essential criteria PhD in computer science, AI or related area Proven experience of knowledge engineering and semantic technologies such as knowledge graphs, ontologies, data modelling, RDF, RDFS