Building Knowledge Graphs

Incredibly useful , knowledge graphs help organizations keep track of medical research , cybersecurity threat intelligence , GDPR compliance , web user engagement , and much more . They do so by storing interlinked descriptions of entities-objects , events , situations , or abstract concepts-and encoding the underlying information . How do you create a knowledge graph ? And how do you move it from theory into production ?

Using hands-on examples , this practical book shows data scientists and data engineers how to build their own knowledge graphs . Authors Jesús Barrasa and Jim Webber from Neo4j illustrate common patterns for building knowledge graphs that solve many of today ’ s pressing knowledge management problems . You ’ ll quickly discover how these graphs become increasingly useful as you add data and augment them with algorithms and machine learning .

• Import structured and unstructured data

• Build integration-and-search knowledge graphs

• Discover pattern detection knowledge graphs

• Use natural language knowledge graphs and chatbots

Dr . Jesús Barrasa , an expert in semantic technologies and graph databases , is head of the solutions architecture team in EMEA at Neo4j and leads the development of neosemantics ( a Neo4j plugin for RDF ). He cowrote Knowledge Graphs ( O ’ Reilly ) and is cohost of the Going Meta live webcast .

Dr . Jim Webber is chief scientist at Neoj , where he works on fault-tolerant graph databases . He coauthored Graph Databases for Dummies ( Wiley ) and Graph Databases and Knowledge Graphs , both for O ’ Reilly . He ’ s also a visiting professor at Newcastle University , UK . �

PRESENTED BY

• Learn knowledge graph organizing principles

• Explore graph databases and knowledge graphs

DOWNLOAD WHITEPAPER HERE : https :// www . Intelligentdatacentres . Com / building-knowledge-graphs-a-practitioners-guide /

14 www . intelligentbuild . tech