Entity Alignment Concepts, Recent Advances and Novel Approaches /

Entity Alignment Concepts, Recent Advances and Novel Approaches /

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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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Bibliographic Details
Main Authors: Zhao, Xiang (Author), Zeng, Weixin (Author), Tang, Jiuyang (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edition:1st ed. 2023.
Series:Big Data Management,
Subjects:
Expert systems (Computer science).
Data mining.
Artificial intelligence > Data processing.
Knowledge Based Systems.
Data Mining and Knowledge Discovery.
Data Science.
Online Access:Link to Metadata
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Table of Contents:
  • 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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