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Related lectures (30)
Matrix Factorization: Information Extraction
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Explores matrix factorization for information extraction, Bayesian ranking, and relation embeddings.
Knowledge Inference
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Explores knowledge inference, embedding techniques, and schema matching in data integration.
Knowledge Representation: Semantics and Data Structures
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Explores knowledge representation, data structures, semantics, and the challenges of searching for data on the web.
Semantic Web: Knowledge Graphs
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Explores knowledge representation, information extraction, and the Semantic Web vision, emphasizing standardization, mapping, and ontologies in structuring data.
Information Systems: Overview
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Covers the overview of information systems, data modeling, managing data, and the distinction between data and information.
Knowledge Inference: Entity Disambiguation and Graph Embeddings
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Explores entity disambiguation, graph embeddings, scoring functions, and learning methods.
Entity Disambiguation
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Explores Entity Disambiguation, linking text mentions to a knowledge base, coherence in entity graphs, and Personalized PageRank.
Data-Driven Sustainability: Representing Knowledge & Decision-Making
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Explores data-driven sustainability, emphasizing the importance of data representation in design and manufacturing processes.
Information Extraction: Algorithms and Techniques
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Explores algorithms and techniques for information extraction, including Viterbi algorithm, named entities recognition, and distant supervision.
Sustainability Assessment of Urban Systems
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Covers sustainability assessment in urban systems, exploring origins, key events, eco-efficiency, ethical relationships, and sustainability principles.
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