Webinar - Neo4j: Knowledge Graphs and Graph Analytics for Robust, Responsive Supply Chains

Slides -> https://www.slideshare.net/secret/iUn2TuZzZjKqVr

Vídeo -> https://go.neo4j.com/neo4j-knowledge-graphs-and-graph-analytics-for-robust-responsive-supply-chains-lp.html

A knowledge graph is a interconnected dataset enriched with semantics so we can reason about the underlying data and use it for complex decision making

Data + Graph (context) + KG (semantics)

Semantics - Controlled Vocabulary

Synonyms Rings > Taxonomy > Thesaurus > Ontology

Use cases: Suplly chain optimization (route), logistics, bill of material managment

Graph are good in traversing hierarquies

Comunity detection for graph partitioning

Betweenness centrality to find critical bottlenecks

Neo4J GDS Library: 60+ algorithms

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