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Entity Alignment: Concepts, Recent Advances and Novel Approaches

Entity Alignment: Concepts, Recent Advances and Novel Approaches

Hardcover

Series: Big Data Management

DatabasesGeneral Computers

ISBN10: 9819942497
ISBN13: 9789819942497
Publisher: Springer Nature
Published: Oct 26 2023
Pages: 247
Weight: 1.19
Height: 0.63 Width: 6.14 Depth: 9.21
Language: English
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 downstream applications, e.g., question answering and recommender systems. Recent years have witnessed a rapid increase in the number of entity alignment frameworks, while the relationships among them remain unclear. This book aims to fill that gap by elaborating the concept and categorization of entity alignment, reviewing recent advances in entity alignment approaches, and introducing novel scenarios and corresponding solutions.

Specifically, the book includes comprehensive evaluations and detailed analyses of state-of-the-art entity alignment approaches and strives to provide a clear picture of the strengths and weaknesses of the currently available solutions, so as to inspire follow-upresearch. In addition, it identifies novel entity alignment scenarios and explores the issues of large-scale data, long-tail knowledge, scarce supervision signals, lack of labelled data, and multimodal knowledge, offering potential directions for future research.

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