000 02846nam a22003975i 4500
001 393935
003 ES-MaUEC
005 20230102123037.0
007 cr nn 008mamaa
008 220908s2022 sz | s |||| 0|eng d
020 _a9783031116698
024 7 _a10.1007/978-3-031-11669-8
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
100 1 _aMa, Zongmin
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aModeling and Management of Fuzzy Semantic RDF Data
_cby Zongmin Ma, Guanfeng Li, Ruizhe Ma
250 _a1st edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XI, 210 páginas)
_b41 ilustraciones, 6 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aStudies in Computational Intelligence
_x1860-9503
_v1057
505 0 _aRDF Data and Management -- Fuzzy Sets and Fuzzy Database Modeling -- Fuzzy RDF Modeling -- Persistence of Fuzzy RDF and Fuzzy RDF Schema -- Fuzzy RDF Queries.
520 _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.
700 1 _aLi, Guanfeng
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aMa, Ruizhe
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
776 0 8 _iPrinted edition:
_z9783031116681
776 0 8 _iPrinted edition:
_z9783031116704
776 0 8 _iPrinted edition:
_z9783031116711
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-11669-8
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aSpringer_Robotics_2022
999 _c393935
_d393935