Zongmin Ma,Guanfeng Li,Ruizhe Ma
Modeling and Management of Fuzzy Semantic RDF Data
Modeling and Management of Fuzzy Semantic RDF Data
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This book provides the latest research findings in fuzzy RDF data modeling and management, covering representation, graph matching, querying, and persistence in various databases. It is a valuable resource for researchers, practitioners, and postgraduates in big data intelligence and uncertain data and knowledge engineering.
Format: Hardback
Length: 210 pages
Publication date: 09 September 2022
Publisher: Springer International Publishing AG
This comprehensive book delves into the latest advancements in fuzzy RDF data modeling and management, recognizing the pervasive presence of fuzziness in various data- and knowledge-intensive applications. As the volume of metadata grows, efficient and scalable management of massive semantic data with uncertainty becomes paramount. This book offers in-depth exploration of the rapidly evolving field of technologies and approaches for modeling and managing fuzzy metadata in the Resource Description Framework (RDF) format. Key topics covered include the representation of fuzzy RDF data, fuzzy RDF graph matching, querying of fuzzy RDF data, and persistence of fuzzy RDF data across diverse databases. The primary objective of this book is to provide cutting-edge knowledge to researchers, practitioners, and postgraduate students engaged in big data intelligence, while also serving as a valuable reference for uncertain data and knowledge engineering professionals in the real world.
Weight: 506g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031116681
Edition number: 1st ed. 2022
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