EAN: 9789819942527

BIG DATA MANAGEMENT ENTITY ALIGNMENT - XIANG ...

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-up
research. 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.

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