Merrill Cook
#NLP #WebData #DataScience #machineLearning
Lamp
Chair
Often bought with
Neutral Room
Good for
John Doe
Microsoft
Works At
Schools Attended
Employment
Articles Written
Skills
Awards
# Of Employees
Products
Revenue
Funding Rounds
Twitter sentiment
In circulation
Block reward
Market cap
Hashtags
Influencers
This flexibility means that knowledge graphs are great formats for harnessing ever changing data from the web.
The range of data sources knowledge graphs can link support diverse use cases.
Market Intelligence
Rely on the ability to search through “things” instead of content. Example: “show me all AI companies who have raised a series A funding round and haven’t hired a VP of sales.”
News Monitoring
Knowledge graph data is a great input for machine learning, which can add additional searchable fields on top of an articles. Example: “show me positive sentiment articles that mention Apple as well as ‘mergers and acquisitions’.”
Supply Chain And Risk
Knowledge graphs can help plot out facts about your suppliers, and your suppliers suppliers. For example, their financial risk, or a regulatory concern, or a news mention that is negative.
Machine Learning
Because knowledge graphs provide structured data that also has context, they’re great supporting machine learning with quality training data that also provides explainability.
Ecommerce
Knowledge graphs can support recommendation engines. For example, “what’s a product often bought with a product of interest that has high sentiment reviews?”
Chair
Often bought with
Good for
Neutral Room
Lamp
Diffbot
GDELT
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NEO4J
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Largest commercial Knowledge Graph. Sourced from the public web.
Largest knowledge graph of printed news. Focused on political events.
Popular graph database and vis tool. Populate with your own data.