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020 _a9783030237608
024 7 _a10.1007/978-3-030-23760-8
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aT58.64
_b2020 EB
245 0 0 _aComputational intelligence for semantic knowledge management :
_bnew perspectives for designing and organizing information systems
_cedited by Giovanni Acampora, Witold Pedrycz, Athanasios V. Vasilakos, Autilia Vitiello
250 _aFirst edition
264 1 _aCham
_bSpringer International Publishing
_c2020
300 _a1 recurso en línea (XVIII, 135 páginas)
_b50 ilustraciones, 41 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aStudies in Computational Intelligence
_x1860-949X
_v837
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
505 0 _aNatural Noise Management in Recommender Systems using Fuzzy Tools -- Combining Collaborative Filtering and Semantic-based Techniques to Recommend Components for Mashup Design -- Semantic Maps for Knowledge Management of Web and Social Information -- A Study on Local Search Meta-heuristics for Ontology Alignment -- Decision Tree Based Single Person Gesture Recognition -- Modified Type-2 Fuzzy Gesture Space Induced Physical Disorder Recognition -- Performance Analysis.
520 3 _aThis book provides a comprehensive overview of computational intelligence methods for semantic knowledge management. Contrary to popular belief, the methods for semantic management of information were created several decades ago, long before the birth of the Internet. In fact, it was back in 1945 when Vannevar Bush introduced the idea for the first protohypertext: the MEMEX (MEMory + indEX) machine. In the years that followed, Bush's idea influenced the development of early hypertext systems until, in the 1980s, Tim Berners Lee developed the idea of the World Wide Web (WWW) as it is known today. From then on, there was an exponential growth in research and industrial activities related to the semantic management of the information and its exploitation in different application domains, such as healthcare, e-learning and energy management. However, semantics methods are not yet able to address some of the problems that naturally characterize knowledge management, such as the vagueness and uncertainty of information. This book reveals how computational intelligence methodologies, due to their natural inclination to deal with imprecision and partial truth, are opening new positive scenarios for designing innovative semantic knowledge management architectures.
650 7 _2embne
_9157801
_aGestión del conocimiento
650 7 _2embne
_9175270
_aSemántica
_xProceso de datos
650 7 _2embne
_aSistemas de información
_xDiseño
_9147360
700 1 _aAcampora, Giovanni
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aPedrycz, Witold
_d1953-
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_967495
700 1 _aVasilakos, Athanasios V
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aVitiello, Autilia
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9783030237585
776 0 8 _iPrinted edition:
_z9783030237592
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-23760-8
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _aSI
_cm
_dz
_feng
_ggw
_h0
_b12/2019
_eel
_zSI