Knowledge Modeling: Introduction

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Related lectures (32)

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Knowledge Inference

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

Matrix Factorization: Linking Text to Knowledge Bases

Explores distant supervision for linking text to knowledge bases using entity extraction and classifiers.

Entity Disambiguation

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

Named Entity Recognition: Applications and Techniques

Explores Named Entity Recognition, its uses, techniques, and applications in information extraction.

Projects Presentation & Logistics

Covers the presentation of 4 projects in the course and related logistics.

Entity Disambiguation and Link Prediction

Explores entity disambiguation, linking text to knowledge bases, and link prediction in knowledge graphs with examples from Wikipedia.

Foundations of Information Systems: Course Overview and Key Concepts

Introduces the course on information systems, covering its structure, objectives, and foundational concepts essential for understanding data management and decision-making.

Taxonomy Induction: Learning Hierarchical Structures

Explores taxonomy induction, learning terms and relationships to construct hierarchical structures.

Information Extraction: Bootstrapping

Explores Information Extraction approaches like hand-written patterns and distant supervision, with examples of entity pairs matching patterns.

Taxonomy Induction: Learning Concepts and Relationships

Explores taxonomy induction, learning relationships and concepts from documents.