If you’re new to RDF/LPG, here is a good introduction to the differences between both types of graphs. For the last post in this series, I will work with a larger public RDF dataset in Neo4j. We’ve already seen a few times that importing an RDF dataset into Neo4j is easy, so what I will focus on in […]
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 […]
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 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> . […]
The first of a series of quick graphs in Neo4j built from public data. Watch this space! The example is also available as a GraphGist here The dataset For this example I’ve used DBpedia data about European cities, the political parties in their local governments and their ideologies. So big disclaimer, this data is not […]
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 […]
There are two key characteristics of RDF stores (aka triple stores): the first and by far the most relevant is that they represent, store and query data as a graph. The second is that they are semantic, which is a rather pompous way of saying that they can store not only data but also explicit descriptions of the meaning of […]
