This document discusses using knowledge graphs (KG) with Neo4j. It provides examples of how companies like Airbnb, Lyft and LinkedIn use KGs for metadata management and data pipelines. KGs can also be used for personalization and recommendation. The document discusses the differences between KGs and Resource Description Framework (RDF) models, and the use of ontologies to build KGs using natural language processing. It recommends identifying a clear purpose and building a semantic overlay on the data incrementally to check the value after each iteration.

1. Neo4j, Inc. All rights reserved 2021
Neo4j, Inc. All rights reserved 2021
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Actioning Knowledge Graphs
Using Neo4j
Dr. Jesús Barrasa
Director Sales Engineering EMEA
Summer 2021

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Probably the most well-known KG: Panama Papers
https://offshoreleaks.icij.org/

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KG =
Data
+
Meta
Data

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KG for Metadata Management
(Dataportal) https://medium.com/airbnb-engineering/democratizing-data-at-airbnb-852d76c51770
(Amundsen) https://neo4j.com/blog/live-from-lyft/
(DataHub)
https://engineering.linkedin.com/blog/2020/open-sourcing-datahub--linkedins-metadata-search-and-discovery-p
2017
2019
2019
2020

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Knowledge Graphs for Metadata Management: A Data Pipeline

6. Neo4j, Inc. All rights reserved 2021
Neo4j, Inc. All rights reserved 2021
A graph of the ecosystem has value far beyond
tracking lineage and cross-functional information.
Data is a proxy for the operations of a company.
Analyzing the network helps to surface lines of
communication and identify facets or
disconnected information.”
6
“
The Dataportal team - Airbnb
in “Democratizing Data at Airbnb” 2017
https://medium.com/airbnb-engineering/democratizing-data-at-airbnb-852d76c51770

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Knowledge Graphs for Personalisation & Recommendation

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What about RDF?
The World
RDF
(low level model)
PG
(high level model)
MATCH (:Person { name: “JB”})-[:works_for]->(c) RETURN c

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What about Ontologies?
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https://neo4j.com/developer/graph-data-science/build-knowledge-graph-nlp-ontologies/

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Where to go next?
• KG is about making data smarter… but with a purpose
• Identify the purpose (the action in Actioning KG) and build the right semantic
overlay on your data
• Incrementally, Iteratively, checking value after each iteration
Resources
• RDF integration
https://neo4j.com/labs/neosemantics/
• Build a KG with Ontologies and NLP
https://neo4j.com/developer/graph-data-science/build-knowledge-graph-nlp-ontologies/