描述
This collection of scholarly works presents insights from the 4th International Workshop on Software Foundations for Data Interoperability, shedding light on critical advancements in the realm of large-scale graph data analytics. The authors, including prominent researchers, explore various methodologies and technological frameworks that facilitate effective data integration and utilization.
Readers are presented with rigorous studies and innovative approaches that address the challenges confronting data interoperability. The proceedings highlight state-of-the-art techniques and case studies, providing a rich tapestry of knowledge that benefits both academic and industry practitioners.
By compiling these findings, the book serves as a valuable resource for those engaged in the fields of computer science and information technology, aiming to enhance their understanding of the current landscape and its future directions.
Readers are presented with rigorous studies and innovative approaches that address the challenges confronting data interoperability. The proceedings highlight state-of-the-art techniques and case studies, providing a rich tapestry of knowledge that benefits both academic and industry practitioners.
By compiling these findings, the book serves as a valuable resource for those engaged in the fields of computer science and information technology, aiming to enhance their understanding of the current landscape and its future directions.
书籍详情
格式
Kindle
页数
371 页
语言
英语
已发布
11月 5, 2020
出版商
Springer
ISBN-10
3030611337
ISBN-13
9783030611330