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Lecture
Semantic Modelling: Tabular Data and RDF
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Related lectures (32)
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Knowledge Representation: Semantics and Data Structures
Explores knowledge representation, data structures, semantics, and the challenges of searching for data on the web.
Semantic Web: Ontologies and RDF Modeling
Covers the creation and encoding of ontologies, modeling RDF statements, syntax, and classification.
Semantic Web: Knowledge Representation
Explores Semantic Web concepts, RDF syntax, and knowledge representation using RDF statements and Schema.org.
Semantic Web: Overview and Tools
Explores the Semantic Web, ontologies, schema mapping, RDF, and knowledge graphs.
Understanding Knowledge Graphs
Explores the concept of Knowledge Graphs and their role in data integration and semantic understanding, showcasing real-world examples and applications.
Philosophy of Space and Time: Ontology and Dynamics
Examines philosophical perspectives on space, time, laws of nature, and dynamics.
Semantic Web & Information Extraction
Explores Semantic Web, ontologies, information extraction, key phrases, named entities, and knowledge bases.
RDF: Syntax and Schema
Explores RDF syntax, schema properties, and classification of resources in the Semantic Web.
Relational Databases: Fundamentals and ACID Properties
Covers relational databases, transactions, and data consistency in the context of historical database typologies.
Relational Model: Basics
Introduces the relational model, SQL, keys, integrity constraints, ER translation, weak entities, ISA hierarchies, and SQL vs. noSQL.
