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Related lectures (32)
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Semantic Web: Ontologies and RDF Modeling
Covers the creation and encoding of ontologies, modeling RDF statements, syntax, and classification.
Distributed Information Systems: Overview and Challenges
Covers Distributed Information Systems challenges, including autonomy, heterogeneity, trust evaluation, and privacy protection.
Knowledge Representation: Introduction
Covers knowledge representation in AI, logical inference, and applications in various domains.
Information Extraction & Knowledge Inference
Explores information extraction, knowledge inference, taxonomy induction, and entity disambiguation.
Link Indexing
Explores adjacency lists, locality, similarity, and efficient representation in link indexing.
Text Understanding
Explores Text Understanding, focusing on Named Entities, Information Extraction, and Machine Reading methods.
Matrix Factorization: Information Extraction
Explores matrix factorization for information extraction, Bayesian ranking, and relation embeddings.
Data-Driven Sustainability: Representing Knowledge & Decision-Making
Explores data-driven sustainability, emphasizing the importance of data representation in design and manufacturing processes.
Semantic Web: Knowledge Representation
Explores Semantic Web concepts, RDF syntax, and knowledge representation using RDF statements and Schema.org.