Philosophy of Space and Time: Ontology and Dynamics

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Related lectures (32)

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Semantic Modelling: Tabular Data and RDF

Introduces semantic modelling through tabular data and RDF, covering relational databases, schema migration, future-proof schemata, SPARQL querying, and metaknowledge limitations.

Knowledge Representation: Semantics and Data Structures

Explores knowledge representation, data structures, semantics, and the challenges of searching for data on the web.

Relational Databases: Fundamentals

Covers relational and spatial databases, including storage, management systems, ACID properties, historical typologies, primary and foreign keys, and spatial functions.

Relational Algebra and SQL: Foundations of Database Management

Introduces the relational model and relational algebra, focusing on SQL and its operations for effective database management.

Relational Databases: Fundamentals and ACID Properties

Covers relational databases, transactions, and data consistency in the context of historical database typologies.

Data-Intensive Systems: Relational Model and Algebra

Introduces the relational model and algebra, essential for understanding data-intensive systems and effective database management.

Database Management Systems: Fundamentals

Introduces the fundamentals of database management systems, covering relational model, storage options, data integrity, queries, and data manipulation languages.

Relational Model: Basics

Introduces the relational model, SQL, keys, integrity constraints, ER translation, weak entities, ISA hierarchies, and SQL vs. noSQL.

Relational Model: Basics

Covers the basics of the relational model in database management systems, including data models, primary and foreign keys.

Semantic Web: Ontologies and RDF Modeling

Covers the creation and encoding of ontologies, modeling RDF statements, syntax, and classification.