Neo4j is your RDF store (part 2)

As in previous posts, for those of you less familiar with the differences and similarities between RDF and the Property Graph, I recommend you watch this talk I gave at Graph Connect San Francisco in October 2016. In the previous post on this series, I showed the most basic way in which a portion of your graph […]

Neo4j is your RDF store (part 1)

If you want to understand the differences and similarities between RDF and the Labeled Property Graph implemented by Neo4j, I’d recommend you watch this talk I gave at Graph Connect San Francisco in October 2016. Intro Let me start with some basics: RDF is a standard for data exchange, but it does not impose any particular way […]

The ‘hidden’ connections in Google’s Knowledge Graph

As far as I know, the only way to query Google’s Knowledge Graph currently is the search API. Let’s run a query on it, search for instance for Miles Davis’ album “Sketches of Spain”. https://kgsearch.googleapis.com/v1/entities:search?query=sketches%20of%20spain&key=<your_key_here>&limit=1 The API returns this JSON-LD fragment back (thanks, Jos de Jong for the great JSON Editor Online): Strip out the wrapping entities and each search result […]

QuickGraph#3 A step-by-step example of RDF to Property Graph transformation

The dataset For this example I am going to use a sample movie dataset from the Cayley project. It’s a set of half a million triples about actors, directors and movies that can be downloaded here. Here is what the dataset looks like: </en/meet_the_parents> <name> “Meet the Parents” . </en/meet_the_parents> <type> </film/film> . </en/meet_the_parents> </film/film/directed_by> </en/jay_roach> . […]

Importing RDF data into Neo4j

The previous blog post might have been a bit too dense to start with, so I’ll try something a bit lighter this time like importing RDF data into Neo4j. It asumes, however, a certain degree of familiarity with both RDF and graph databases. There are a number of RDF datasets out there that you may […]