Category
Knowledge representation and reasoning
Related lectures (73)
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: Overview and Tools
Explores the Semantic Web, ontologies, schema mapping, RDF, and knowledge graphs.
Understanding Knowledge GraphsMOOC: Simulation Neurocience
Explores the concept of Knowledge Graphs and their role in data integration and semantic understanding, showcasing real-world examples and applications.
Semantic Web & Information Extraction
Explores Semantic Web, ontologies, information extraction, key phrases, named entities, and knowledge bases.
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.
Semantic Web: Knowledge Representation
Explores Semantic Web concepts, RDF syntax, and knowledge representation using RDF statements and Schema.org.
Semantic Web: Knowledge Graphs
Explores knowledge representation, information extraction, and the Semantic Web vision, emphasizing standardization, mapping, and ontologies in structuring data.
Distributed Information Systems: Overview and Challenges
Covers Distributed Information Systems challenges, including autonomy, heterogeneity, trust evaluation, and privacy protection.
RDF: Syntax and Schema
Explores RDF syntax, schema properties, and classification of resources in the Semantic Web.