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020 _a9783031019166
_9978-3-031-01916-6
024 7 _a10.1007/978-3-031-01916-6
_2doi
050 4 _aQA76.625
072 7 _aUMW
_2bicssc
072 7 _aCOM060160
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082 0 4 _a006.76
_223
100 1 _aSequeda, Juan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980439
245 1 0 _aDesigning and Building Enterprise Knowledge Graphs
_h[electronic resource] /
_cby Juan Sequeda, Ora Lassila.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aXXIII, 142 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _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.
650 0 _aInternet programming.
_935503
650 0 _aOntology.
_95277
650 1 4 _aWeb Development.
_935505
650 2 4 _aOntology.
_95277
700 1 _aLassila, Ora.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980440
710 2 _aSpringerLink (Online service)
_980441
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031001116
776 0 8 _iPrinted edition:
_z9783031007880
776 0 8 _iPrinted edition:
_z9783031030444
830 0 _aSynthesis Lectures on Data, Semantics, and Knowledge,
_x2691-2031
_980442
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01916-6
912 _aZDB-2-SXSC
942 _cEBK
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