LEADER 03240nam  22006135  450 
001 9910592982503321
005 20230810175832.0
010   $a3-031-11669-0
024 7 $a10.1007/978-3-031-11669-8
035   $a(MiAaPQ)EBC7083148
035   $a(Au-PeEL)EBL7083148
035   $a(CKB)24814899800041
035   $a(DE-He213)978-3-031-11669-8
035   $a(PPN)264953703
035   $a(EXLCZ)9924814899800041
100   $a20220908d2022      u|             0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aModeling and Management of Fuzzy Semantic RDF Data$b[electronic resource] /$fby Zongmin Ma, Guanfeng Li, Ruizhe Ma
205   $a1st ed. 2022.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022.
215   $a1 online resource (217 pages)
225 1 $aStudies in Computational Intelligence,$x1860-9503 ;$v1057
311 08$aPrint version: Ma, Zongmin Modeling and Management of Fuzzy Semantic RDF Data Cham : Springer International Publishing AG,c2022 9783031116681 
320   $aIncludes bibliographical references and index.
327   $aRDF Data and Management -- Fuzzy Sets and Fuzzy Database Modeling -- Fuzzy RDF Modeling -- Persistence of Fuzzy RDF and Fuzzy RDF Schema -- Fuzzy RDF Queries.
330   $aThis book systemically presents the latest research findings in fuzzy RDF data modeling and management. Fuzziness widely exist in many data and knowledge intensive applications. With the increasing amount of metadata available, efficient and scalable management of massive semantic data with uncertainty is of crucial importance. This book goes to great depth concerning the fast-growing topic of technologies and approaches of modeling and managing fuzzy metadata with Resource Description Framework (RDF) format. Its major topics include representation of fuzzy RDF data, fuzzy RDF graph matching, query of fuzzy RDF data, and persistence of fuzzy RDF data in diverse databases. The objective of the book is to provide the state-of-the-art information to researchers, practitioners, and postgraduates students who work on the area of big data intelligence and at the same time serve as the uncertain data and knowledge engineering professional as a valuable real-world reference.
410  0$aStudies in Computational Intelligence,$x1860-9503 ;$v1057
606   $aComputational intelligence
606   $aEngineering$xData processing
606   $aArtificial intelligence
606   $aComputational Intelligence
606   $aData Engineering
606   $aArtificial Intelligence
615  0$aComputational intelligence.
615  0$aEngineering$xData processing.
615  0$aArtificial intelligence.
615 14$aComputational Intelligence.
615 24$aData Engineering.
615 24$aArtificial Intelligence.
676   $a006.3
700   $aMa$b Zongmin$0968470
702   $aLi$b Guanfeng
702   $aMa$b Ruizhe
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910592982503321
996   $aModeling and Management of Fuzzy Semantic RDF Data$92914740
997   $aUNINA