Modeling and Management of Fuzzy Semantic RDF Data: 1057 (Studies in Computational Intelligence) - Tapa blanda

Ma, Zongmin; Li, Guanfeng; Ma, Ruizhe

 
9783031116711: Modeling and Management of Fuzzy Semantic RDF Data: 1057 (Studies in Computational Intelligence)
Tapa blanda
ISBN 10: 3031116712 ISBN 13: 9783031116711
Editorial: Springer, 2023

Sinopsis

This book systemically presents the latest research findings in fuzzy RDF data modeling and management. Fuzziness widely exist in many data and knowledge intensive applications. With the increasing amount of metadata available, efficient and scalable management of massive semantic data with uncertainty is of crucial importance. This book goes to great depth concerning the fast-growing topic of technologies and approaches of modeling and managing fuzzy metadata with Resource Description Framework (RDF) format. Its major topics include representation of fuzzy RDF data, fuzzy RDF graph matching, query of fuzzy RDF data, and persistence of fuzzy RDF data in diverse databases. The objective of the book is to provide the state-of-the-art information to researchers, practitioners, and postgraduates students who work on the area of big data intelligence and at the same time serve as the uncertain data and knowledge engineering professional as a valuable real-world reference.


"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

This book systemically presents the latest research findings in fuzzy RDF data modeling and management. Fuzziness widely exist in many data and knowledge intensive applications. With the increasing amount of metadata available, efficient and scalable management of massive semantic data with uncertainty is of crucial importance. This book goes to great depth concerning the fast-growing topic of technologies and approaches of modeling and managing fuzzy metadata with Resource Description Framework (RDF) format. Its major topics include representation of fuzzy RDF data, fuzzy RDF graph matching, query of fuzzy RDF data, and persistence of fuzzy RDF data in diverse databases. The objective of the book is to provide the state-of-the-art information to researchers, practitioners, and postgraduates students who work on the area of big data intelligence and at the same time serve as the uncertain data and knowledge engineering professional as a valuable real-world reference.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2023
Idioma
Inglés
ISBN 10 
3031116712
ISBN 13 
9783031116711
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
224
Contacto del fabricante
ProductSafety@springernature.com
ProductSafety@springernature.com

Tiergartenstr. 17
Heidelberg
69121
Alemania

Otras ediciones populares con el mismo título

9783031116681: Modeling and Management of Fuzzy Semantic RDF Data: 1057 (Studies in Computational Intelligence, 1057)

Edición Destacada

ISBN 10:  3031116682 ISBN 13:  9783031116681
Editorial: Springer, 2022
Tapa dura