Modeling and management of fuzzy semantic RDF data / Zongmin Ma, Guanfeng Li, Ruizhe Ma.

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 uncertai...

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Bibliographic Details
Main Authors: Ma, Zongmin, 1965- (Author), Li, Guanfeng (Author), Ma, Ruizhe (Author)
Format: eBook
Language:English
Published: Cham, Switzerland : Springer, 2022.
Series:Studies in computational intelligence ; v. 1057.
Subjects:
Online Access:Click for online access

MARC

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100 1 |a Ma, Zongmin,  |d 1965-  |e author.  |1 https://id.oclc.org/worldcat/entity/E39PCjyqdTjYTRyYTXMRBjCQhd 
245 1 0 |a Modeling and management of fuzzy semantic RDF data /  |c Zongmin Ma, Guanfeng Li, Ruizhe Ma. 
260 |a Cham, Switzerland :  |b Springer,  |c 2022. 
300 |a 1 online resource. 
490 1 |a Studies in computational intelligence ;  |v v. 1057 
505 0 |a RDF Data and Management -- Fuzzy Sets and Fuzzy Database Modeling -- Fuzzy RDF Modeling -- Persistence of Fuzzy RDF and Fuzzy RDF Schema -- Fuzzy RDF Queries. 
520 |a 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. 
504 |a Includes bibliographical references and index. 
588 0 |a Print version record. 
650 0 |a Database management. 
650 0 |a Fuzzy systems. 
650 0 |a RDF (Document markup language) 
650 0 |a Computational intelligence. 
650 0 |a Semantic computing. 
650 7 |a Computational intelligence  |2 fast 
650 7 |a Database management  |2 fast 
650 7 |a Fuzzy systems  |2 fast 
650 7 |a RDF (Document markup language)  |2 fast 
650 7 |a Semantic computing  |2 fast 
700 1 |a Li, Guanfeng,  |e author. 
700 1 |a Ma, Ruizhe,  |e author. 
776 0 8 |c Original  |z 3031116682  |z 9783031116681  |w (OCoLC)1331703387 
776 0 8 |i Print version:  |a MA, ZONGMIN. LI, GUANFENG. MA, RUIZHE.  |t MODELING AND MANAGEMENT OF FUZZY SEMANTIC RDF DATA.  |d [S.l.] : SPRINGER INTERNATIONAL PU, 2022  |z 3031116682  |w (OCoLC)1331703387 
830 0 |a Studies in computational intelligence ;  |v v. 1057. 
856 4 0 |u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-031-11669-8  |y Click for online access 
903 |a SPRING-ROBOTICS2022 
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