000 03183nam a22004695i 4500
710 2 _aSpringerLink (Online service)
_9106996
999 _c118509
_d118509
001 118509
003 ES-MaUEC
005 20240111050201.0
006 a||||fo|||| 00| 0
007 cr nn nnnaamaa
008 200204s2020 gw a o |||| 0|eng d
020 _a9783030396015
024 7 _a10.1007/978-3-030-39601-5
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
041 0 _aeng
050 4 _aHD30.2
_b2020 EB
245 0 0 _aKnowledge Management and Engineering with Decisional DNA
_cedited by Edward Szczerbicki, Cesar Sanin
250 _aFirst edition
264 1 _aCham
_bSpringer International Publishing :
_bImprint Springer
_c2020
300 _a1 recurso en línea (XVI, 248 páginas)
_b113 ilustraciones, 91 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aIntelligent Systems Reference Library
_x1868-4394
_v183
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
505 0 _aSet of Experience and Decisional DNA: Experience-based Knowledge Structures -- Visual Content Representation for Cognitive Systems: Towards Augmented Intelligence -- Smart Decisional DNA technology to enhance Industry 4.0 environment in conjunction with conventional manufacturing -- Smart Embedded Systems with Decisional DNA Knowledge Representation.
520 3 _aThis is the first book on experience-based knowledge representation and knowledge management using the unique Decisional DNA (DDNA) technology. The DDNA concept is roughly a decade old, and is rapidly attracting increasing attention and interest among researchers and practitioners. This comprehensive book provides guidelines to help readers develop experience-based tools and approaches for smart engineering of knowledge, data and information. It does not attempt to offer ultimate answers, but instead presents ideas and a number of real-world case studies to explore and exemplify the complexities and challenges of modern knowledge engineering issues. It also increases readers' awareness of the multifaceted interdisciplinary character of such issues to enable them to consider - in different ways - developing, evaluating, and supporting smart knowledge engineering systems that use DDNA technology based on experience.
988 _aPrimersemestre_2020_Robotics
650 7 _2embne
_9157801
_aGestión del conocimiento
650 7 _2embne
_aInteligencia artificial
_9413115
700 1 _aSzczerbicki, Edward.
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSanin, Cesar.
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783030396008
776 0 8 _iPrinted edition:
_z9783030396022
776 0 8 _iPrinted edition:
_z9783030396039
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-39601-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
_n0
998 _b03/2020
_dz
_eb
_zSI