書籍詳情
格式
精裝書
語言
英語
已出版
Oct 24, 2022
出版商
Springer
ISBN-10
981108176X
ISBN-13
9789811081767
描述
Delving into the intricacies of knowledge graphs, this work offers an exhaustive exploration of their structure, functionalities, and applications. The authors meticulously dissect various components, drawing connections between theoretical frameworks and practical implementations. Their expertise ensures a rich understanding of how knowledge graphs can be utilized in diverse fields, from artificial intelligence to data management.
Throughout the chapters, the reader is introduced to advanced concepts as well as foundational principles, equipping them with the tools necessary to navigate the evolving landscape of data integration and representation. Each section is thoughtfully crafted, illustrating how knowledge graphs facilitate a deeper comprehension of complex data relationships.
The collaborative effort of the authors brings together diverse perspectives, making the content accessible for both newcomers and seasoned professionals. By emphasizing the significance of knowledge graphs in modern technology, this comprehensive overview stands as a vital resource for anyone looking to enhance their understanding of data semantics and relational mapping.
Throughout the chapters, the reader is introduced to advanced concepts as well as foundational principles, equipping them with the tools necessary to navigate the evolving landscape of data integration and representation. Each section is thoughtfully crafted, illustrating how knowledge graphs facilitate a deeper comprehension of complex data relationships.
The collaborative effort of the authors brings together diverse perspectives, making the content accessible for both newcomers and seasoned professionals. By emphasizing the significance of knowledge graphs in modern technology, this comprehensive overview stands as a vital resource for anyone looking to enhance their understanding of data semantics and relational mapping.