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Modeling and management of fuzzy sem...

Ma, Zongmin.

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Modeling and management of fuzzy semantic RDF data

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modeling and management of fuzzy semantic RDF data/ by Zongmin Ma, Guanfeng Li, Ruizhe Ma.
作者:	Ma, Zongmin.
其他作者:	Li, Guanfeng.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xi, 210 p. :ill., digital ;24 cm.
內容註:	RDF Data and Management -- Fuzzy Sets and Fuzzy Database Modeling -- Fuzzy RDF Modeling -- Persistence of Fuzzy RDF and Fuzzy RDF Schema -- Fuzzy RDF Queries.
Contained By:	Springer Nature eBook
標題:	Database management. -
電子資源:	https://doi.org/10.1007/978-3-031-11669-8
ISBN:	9783031116698

Modeling and management of fuzzy semantic RDF data
Ma, Zongmin.

Modeling and management of fuzzy semantic RDF data[electronic resource] /by Zongmin Ma, Guanfeng Li, Ruizhe Ma. - Cham :Springer International Publishing :2022. - xi, 210 p. :ill., digital ;24 cm. - Studies in computational intelligence,v. 10571860-9503 ;. - Studies in computational intelligence ;v. 1057..

RDF Data and Management -- Fuzzy Sets and Fuzzy Database Modeling -- Fuzzy RDF Modeling -- Persistence of Fuzzy RDF and Fuzzy RDF Schema -- Fuzzy RDF Queries.

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.

ISBN: 9783031116698

Standard No.: 10.1007/978-3-031-11669-8doiSubjects--Topical Terms:

527442
Database management.

LC Class. No.: QA76.9.D3 / M3 2022

Dewey Class. No.: 005.74

Modeling and management of fuzzy semantic RDF data
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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.
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