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008			220601s2021 sz | s |||| 0|eng d
020			_a9783031019166
024	7		_a10.1007/978-3-031-01916-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA166 _b2021 EB
100	1		_aSequeda, Juan _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687235
245	1	0	_aDesigning and Building Enterprise Knowledge Graphs _cby Juan Sequeda, Ora Lassila
250			_a1st edition 2021
264		1	_aCham _bSpringer International Publishing _c2021
300			_a1 recurso en línea (XXIII, 142 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Data Semantics and Knowledge _x2691-2031
505	0		_aPreface -- Foreword by an Anonymous CDO -- Foreword by Tom Plasterer -- Acknowledgments -- Disclaimer -- Introduction -- Designing Enterprise Knowledge Graphs -- Mapping Design Patterns -- Building Enterprise Knowledge Graphs -- What's Next? -- Conclusions -- Bibliography -- Authors' Biographies.
520			_aThis book is a guide to designing and building knowledge graphs from enterprise relational databases in practice.\ It presents a principled framework centered on mapping patterns to connect relational databases with knowledge graphs, the roles within an organization responsible for the knowledge graph, and the process that combines data and people. The content of this book is applicable to knowledge graphs being built either with property graph or RDF graph technologies. Knowledge graphs are fulfilling the vision of creating intelligent systems that integrate knowledge and data at large scale. Tech giants have adopted knowledge graphs for the foundation of next-generation enterprise data and metadata management, search, recommendation, analytics, intelligent agents, and more. We are now observing an increasing number of enterprises that seek to adopt knowledge graphs to develop a competitive edge. In order for enterprises to design and build knowledge graphs, they need to understand the critical data stored in relational databases. How can enterprises successfully adopt knowledge graphs to integrate data and knowledge, without boiling the ocean? This book provides the answers.
988			_aSynthesis Collection of Technology_2021
650		7	_2embne _9150569 _aSistemas de gestión de bases de datos
650		7	_2embne _9163805 _aWeb semántica
650		7	_2embne _9146336 _aGrafos, Teoría de
700	1		_aLassila, Ora _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687236
776	0	8	_iPrinted edition: _z9783031001116
776	0	8	_iPrinted edition: _z9783031007880
776	0	8	_iPrinted edition: _z9783031030444
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01916-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2023 _dz _esc _zSI