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Modeling and Management of Fuzzy Semantic RDF Data [[electronic resource] /] / by Zongmin Ma, Guanfeng Li, Ruizhe Ma



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Autore: Ma Zongmin Visualizza persona
Titolo: Modeling and Management of Fuzzy Semantic RDF Data [[electronic resource] /] / by Zongmin Ma, Guanfeng Li, Ruizhe Ma Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Edizione: 1st ed. 2022.
Descrizione fisica: 1 online resource (217 pages)
Disciplina: 006.3
Soggetto topico: Computational intelligence
Engineering - Data processing
Artificial intelligence
Computational Intelligence
Data Engineering
Artificial Intelligence
Persona (resp. second.): LiGuanfeng
MaRuizhe
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: RDF Data and Management -- Fuzzy Sets and Fuzzy Database Modeling -- Fuzzy RDF Modeling -- Persistence of Fuzzy RDF and Fuzzy RDF Schema -- Fuzzy RDF Queries.
Sommario/riassunto: 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.
Titolo autorizzato: Modeling and Management of Fuzzy Semantic RDF Data  Visualizza cluster
ISBN: 3-031-11669-0
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910592982503321
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Serie: Studies in Computational Intelligence, . 1860-9503 ; ; 1057