Introduces semantic modelling through tabular data and RDF, covering relational databases, schema migration, future-proof schemata, SPARQL querying, and metaknowledge limitations.
Explores popular ontologies and knowledge bases like WordNet, WikiData, Google Knowledge Graph, and Schema.org, as well as Linked Open Data sets.
Explores neuroscience data analysis, emphasizing structured data, computational tools, and the trend of computational neuroscience as a service.
Delves into the philosophical aspects of quantum physics, exploring non-locality, measurement problems, and wave function collapse.
Explores practical automated reasoning systems like TPTP, TSTP, and CASC, emphasizing the importance of consistency and future developments.
