This week Stefan Bieliauskas shows us how to model provenance data in Neo4j, and Lju Lazarevic takes us through some techniques for de-duplicating ingredients in the BBC Good Food Graph.

We also have a new GRANDstack starter template and an ObservableHQ notebook showing how to use the Neo4j JavaScript drivers.

Our featured community members this week is Ray Lukas, Architect Advisor at CVS Health.

Ray Lukas - This Week’s Featured Community Member

Ray Lukas – This Week’s Featured Community Member

His strong passion for connected data and understanding the complexities within our world, he began to create customized training materials on Neo4j development for his colleagues and friends.

He has a strong desire for helping people and contributing to an overall goal, which is what drove him to take on this pretty extensive project. His enthusiasm is infectious and he also happens to be an all around kind human. He’s a dog lover and has 4 collies!.

Thank you, Ray, for bringing positivity and excitement into our community! :heart:

Getting started with Provenance and Neo4j

In this week’s Neo4j Online Meetup, Stefan Bieliauskas shows us how to model provenance data using Neo4j.

You can also read the blog post that Stefan wrote on the same topic earlier this year.

What’s cooking? Part 5: Dealing with duplicates

In part 5 of the BBC Good Food series, Lju Lazarevic takes us through some techniques for de-duplicating ingredients.

Using only Cypher and the APOC library, Lju shows us how to find plurals that refer to the same thing, deal with active and passive naming, ignore stop words, deal with capitalisation issues, and more.

This Week in GRANDstack: GitHub Starter Template, StackOverflow API

This week in the GRANDstack, Will Lyon created a starter template project using GitHub’s new repository template feature. You can now get started with the GRANDstack in a single click.

And Michael Hunger wrote a blog post showing how to build a StackOverflow GraphQL API and Demo App in 10 Minutes.

ObservableHQ Notebook, Data Import with GraphXR, Redesigning Neo4j’s Developer Guides

Houston, we don’t have a problem – Understanding sentiment in space with NASA

David Meza, Chief Knowledge Architect at NASA, was interviewed by diginomica about his work building the lessons learned graph.

In the interview, David explains how his team made sense of unstructured data from NASA missions by combining natural language processing and graph approaches

Tweet of the Week

My favourite tweet this week was by Janos Szendi-Varga:

Don’t forget to RT if you liked it too.

That’s all for this week. Have a great weekend!

Cheers, Mark


Leave a Reply

Your email address will not be published. Required fields are marked *