Entity Alignment : Concepts, Recent Advances and Novel Approaches

Entity Alignment Concepts, Recent Advances and Novel Approaches

This open access book systematically investigates, the topic of entity alignment, which aims to detect equivalent entities that are located in different knowledge graphs. Entity alignment represents an essential step in enhancing the quality of knowledge graphs, and hence is of significance to downs...

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Detalles Bibliográficos
Autor principal: Zhao, Xiang (-)
Otros Autores: Zeng, Weixin, Tang, Jiuyang
Formato: Libro electrónico
Idioma:Inglés
Publicado: Singapore : Springer Nature Singapore 2023.
Edición:1st ed. 2023.
Colección:Big Data Management,
Materias:
Expert systems (Computer science).
Data mining.
Artificial intelligence > Data processing.
Knowledge Based Systems.
Data Mining and Knowledge Discovery.
Data Science.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009781193906719
Tabla de Contenidos:
  • Chapter 1. Introduction to Entity Alignment
  • Chapter 2. State-of-the-art Approaches and Categorization
  • Chapter 3. Recent Advance in Representation Learning
  • Chapter 4. Recent Advance in Alignment Inference
  • Chapter 5. Experimental Survey and Evaluation
  • Chapter 6. Large-scale Entity Alignment
  • Chapter 7. Long-tail Entity Alignment
  • Chapter 8. Weakly-supervised Entity Alignment
  • Chapter 9. Unsupervised Entity Alignment
  • Chapter 10. Multimodal Entity Alignment.

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