Entity Alignment: Concepts, Recent Advances and Novel Approaches

Entity alignment is essential for enhancing knowledge graphs, and this open access book systematically investigates the topic, reviewing recent advances, introducing novel scenarios, and providing comprehensive evaluations and analyses of state-of-the-art approaches. It covers the latest advances in entity alignment, offers a valuable reference guide for junior researchers, and 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.

Format: Hardback
Length: 247 pages
Publication date: 26 October 2023
Publisher: Springer Verlag, Singapore

Entity alignment is a crucial task in knowledge graphs, aiming to identify equivalent entities across different graphs. It plays a vital role in enhancing the quality of knowledge graphs and has gained significant attention in recent years. However, the relationships among various entity alignment frameworks remain unclear, necessitating a comprehensive exploration of the concept and categorization of entity alignment. This book aims to address this gap by providing a systematic investigation of entity alignment. It begins by elaborating on the concept and categorization of entity alignment, reviewing recent advances in entity alignment approaches, and introducing novel scenarios and corresponding solutions. The book includes comprehensive evaluations and detailed analyses of state-of-the-art entity alignment approaches, providing a clear picture of the strengths and weaknesses of the currently available solutions. Additionally, 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. The book serves as a valuable reference guide for junior researchers, covering the latest advances in entity alignment, and a valuable asset for senior researchers, sharing novel entity alignment scenarios and their solutions. It will appeal to a broad audience in the fields of knowledge bases, database management, artificial intelligence, and big data.

Dimension: 235 x 155 (mm)
ISBN-13: 9789819942497
Edition number: 1st ed. 2023