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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 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.
Autorius: | Xiang Zhao, Jiuyang Tang, Weixin Zeng, |
Serija: | Big Data Management |
Leidėjas: | Springer Nature Singapore |
Išleidimo metai: | 2023 |
Knygos puslapių skaičius: | 260 |
ISBN-10: | 9819942527 |
ISBN-13: | 9789819942527 |
Formatas: | 235 x 155 x 15 mm. Knyga minkštu viršeliu |
Kalba: | Anglų |
Parašykite atsiliepimą apie „Entity Alignment: Concepts, Recent Advances and Novel Approaches“