Knowledge Engineering and Semantic Web

Participants will acquire a foundational understanding of Knowledge Engineering, including ontologies, knowledge graphs, reasoning, and inference. In addition, they will gain both theoretical and practical knowledge in working with established W3C standards for data exchange (RDF, SPARQL, RDFa, Microdata) as well as key technologies of the Semantic Web. The aim of the course is to develop the ability to understand, analyse, and independently design knowledge models and ontologies. The syllabus includes, among other topics: knowledge representation using RDF, ontology modelling with RDF Schema (RDFS) and OWL, and the SPARQL query language.

Leibniz AI Academy

Leibniz Universität Hannover (LUH)