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This 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.
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