Lectures related to Semantic Web: Exercise Solutions

Explores information extraction, knowledge inference, taxonomy induction, and entity disambiguation.

Covers knowledge representation in AI, logical inference, and applications in various domains.

Explores entity disambiguation, graph embeddings, scoring functions, and learning methods.

Explores Entity Disambiguation, linking text mentions to a knowledge base, coherence in entity graphs, and Personalized PageRank.

Explores expert systems, backward chaining, and uncertainty through fuzzy logic in practical applications.

Covers managing a knowledge base, incidents, and guided tours in service management systems.

Examines the historical challenges of managing information and the evolution of information management tools to cope with information overload.

Explores knowledge inference, embedding techniques, and schema matching in data integration.

Covers the IT support services provided by EPFL Information Systems.