June 2023
Beginner to intermediate
290 pages
7h 34m
English
Content preview from Building Knowledge Graphs
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Chapter 6. Enriching Knowledge Graphs with Data Science
This chapter will introduce you to graph data science. The aim of graph data science is to gain insight into your knowledge graph using graph algorithms. Towards that goal, you’ll learn about the common types of graph algorithms and the insights they unearth as well as how Neo4j Graph Data Science provides a simple platform for experimentating with, sharing, and productizing graph algorithms. You’ll also learn how to execute graph algorithms on real knowledge graphs and experience how the system does much of the heavy lifting for you.
Like Chapter 3, this chapter is not intended to be comprehensive but rather to give you the foundation to be able to work through the remainder of the book. For those looking for more depth, there are many good books dedicated to specific deep technical topics, like Graph Data Science for Dummies by Dr. Alicia Frame and Zach Blumenfeld (Wiley).
Why Graph Algorithms?
Graph algorithms yield some insight about a knowledge graph’s structure. That insight could be influential people in a social graph, critical junctions in a rail network, cells of fraudsters, or a common pathogen in a disease pathway. While the design and implementation of graph algorithms is a specialist subject, using them is not. You simply need to understand the purpose of the algorithms and the syntax to execute them over your knowledge graph.
Note
As in Chapter 3 Neo4j has been chosen for graph algorithm examples. It has the ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.