This Week in Neo4j – Exploring DBpedia with neosemantics, Graph Database Based Apps, New Elixir driver

This week’s featured community member is Maxime Guery.

Maxime (a.k.a Cobra) is one of those community members that dived in full-force into the community soon after his discovery of graph databases. His experiences and interests are in AI and data science, so naturally, when he started a new role at Data Nostra working with Neo4j, he was hooked.

Maxime quickly got his Neo4j Certification and started actively contributing to the community. He signed up for the Neo4j Ninja Program to help others while strengthening his own skills.

He’s quickly become one of the most helpful people on the Neo4j community site. We haven’t shared this with him yet, but we even received internal feedback on how “this community member is really going above and beyond answering questions”.

We see a lot of growth potential in Maxime and we’re super excited that he’s joined our community and become so active. His efforts are highly appreciated and we’re anticipating seeing the lives of many graph-enthusiast he’s going to help along his journey.

Cobra, thanks for being such an integral part of the Neo4j community and if there’s anything you need from us along the way, we’re here for you!

Connect with Maxime on LinkedIn

This week’s video is a presentation by Adam Cowley and Jesus Barrasa, in which they show how to import Dbpedia into Neo4j using the neosemantics (n10s) library.

In the talk they show how to query DBpedia’s SPARQL API for Real Madrid football players and import the results into Neo4j using the n10s graph app.

Adam Cowley launched the refresh of the Developer guides, which you can find at neo4j.com/developer/get-started.

We’ve also beefed up the Graph Data Science section, including videos to explain all the main concepts.

Let us know what you think via the feedback option in the bottom right of each page.

Check out the new Developer Guides

Jasper Blues continues the series of blog posts showing how to build a Neo4j-powered mobile game.

In part 2, Jasper shows how to use algorithms from the Graph Data Science Library to run route finding queries that take road closures into account.

Read the blog post

Mathias Tiberghien shows how to create a Neo4j backed application using TypeScript, Angular, and a movies dataset.

In the blog post, Mattias takes us step by step through the class structure of the application, how that maps to the graph schema, and how the application evolved over time. The code for the application is available on GitHub.

Read the blog post

My favourite tweet this week was by Stéphane Nicoll:

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