Introduces semantic modelling through tabular data and RDF, covering relational databases, schema migration, future-proof schemata, SPARQL querying, and metaknowledge limitations.
Covers relational and spatial databases, including storage, management systems, ACID properties, historical typologies, primary and foreign keys, and spatial functions.
Introduces the fundamentals of database management systems, covering relational model, storage options, data integrity, queries, and data manipulation languages.
Explores the concept of Knowledge Graphs and their role in data integration and semantic understanding, showcasing real-world examples and applications.
Explores the connection between physical theories and empirical data, contrasting standard quantum mechanics with Newtonian Mechanics' explicit ontology of particles in space.
