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: Paperback / softback
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 and comprehensive overview of entity alignment. It begins by introducing the concept of entity alignment and its significance in knowledge graphs. It then reviews recent advances in entity alignment approaches, highlighting their strengths and weaknesses. Additionally, the book introduces novel entity alignment scenarios and explores the challenges associated with large-scale data, long-tail knowledge, scarce supervision signals, lack of labelled data, and multimodal knowledge. It offers valuable insights and recommendations for future research in entity alignment. The book is designed to cater to a wide audience, including junior researchers, senior researchers, and practitioners in the fields of knowledge bases, database management, artificial intelligence, and big data. It provides a valuable reference guide for researchers and practitioners, covering the latest advances in entity alignment and offering novel entity alignment scenarios and their solutions. Overall, the book aims to contribute to the advancement of knowledge graph alignment and its practical applications in various domains.

Dimension: 235 x 155 (mm)
ISBN-13: 9789819942527
Edition number: 1st ed. 2023