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This lecture covers the concepts of entity disambiguation, linking text mentions to knowledge bases, and link prediction in knowledge graphs. It discusses challenges like homonyms and synonyms, using examples from Wikipedia entries. The instructor explains the Personalized PageRank algorithm, coherence in node selection, and scoring methods for entity disambiguation. The lecture also explores computing Personalized PageRank, considering popularity measures for nodes, and presents results comparing different disambiguation methods.