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    Home » Computers & Internet » Entity Alignment: Concepts, Recent Advances and Novel Approaches (Big Data Management)
    Computers & Internet

    Entity Alignment: Concepts, Recent Advances and Novel Approaches (Big Data Management)

    TeamBy TeamJune 10, 2025No Comments2 Mins Read0 Views
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    1749576784 61wgl EP81L. SL1245 Entity Alignment: Concepts, Recent Advances and Novel Approaches (Big Data Management) Edu Expertise Hub Databases & Big Data
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    Price: $59.99 - $49.78
    (as of Jun 10, 2025 17:33:07 UTC – Details)

    amazon buy now button 300x148 1 Entity Alignment: Concepts, Recent Advances and Novel Approaches (Big Data Management) Edu Expertise Hub Databases & Big Data

    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.

    The book offers 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. Accordingly, it will appeal to a broad audience in the fields of knowledge bases, database management, artificial intelligence and big data.

    Publisher ‏ : ‎ Springer
    Publication date ‏ : ‎ October 26, 2023
    Edition ‏ : ‎ 1st ed. 2023
    Language ‏ : ‎ English
    Print length ‏ : ‎ 258 pages
    ISBN-10 ‏ : ‎ 9819942497
    ISBN-13 ‏ : ‎ 978-9819942497
    Item Weight ‏ : ‎ 1.19 pounds
    Dimensions ‏ : ‎ 6.14 x 0.63 x 9.21 inches

    This post is exclusively published on eduexpertisehub.com
    Databases & Big Data
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