Roughly a year and a half ago I posted QuickGraph#8 on how to copy all or part of your graph between neo4j DBs by serialising it as RDF with Neosemantics. It concluded on a sad note though, something along these lines: “Relationship properties will be lost in this process because RDF does not allow the representation of properties in edges”. Well, now we have RDF-star and the problem is solved. This is a brief update to that post where I explain how to overcome that hurdle.
Continue reading “QuickGraph#8 revisited: LossLess graph copy between Neo4j DBs with RDF-star”Tag: Neo4j
QuickGraph#17 The English WordNet in Neo4j (part 2)
In this second post on WordNet on Neo4j I will be focusing on querying and analysing the graph that we created in the previous post. I’ll leave for a third instalment some more advanced analysis and maybe integrations with NLTK or RDF.
Remember that you can test all the examples in this post directly on the demo server. The access credentials are wordnet/wordnet (also you’ll need to select the database of the same name). I’ve also put the queries in a Colab python notebook if you prefer to run them from there.
Let’s crack on.
Continue reading “QuickGraph#17 The English WordNet in Neo4j (part 2)”QuickGraph#15 Analysing the structured data embedded in web pages
You’ve probably heard that there are billions of pages on the web that embed structured data describing products, events, people, organisations… One of the most popular mechanisms for doing this is JSON-LD which is one of the many ways of serialising triples. Since you’re here, I’m sure you know that triples form graphs and that I like exploring graphy things…
In this QuickGraph I’ll have a look at the brand new White House pages and use Neo4j and neosemantics to analyse the structured data they embed.
Continue reading “QuickGraph#15 Analysing the structured data embedded in web pages”QuickGraph#14 Using RDF* with Neo4j
Neosemantics (n10s) has been supporting RDF* for a few months now (from release 4.1.0, Sep 2020). Around the time of the release we did a live coding session going over some of the new features, one of which was RDF*. I thought I’d put a couple of examples in a quick graph similar to the ones in the video session to make it easier for people to find and give it a try. This is what you’re reading right now.
Continue reading “QuickGraph#14 Using RDF* with Neo4j”QuickGraph#13 Using a SKOS taxonomy for semantic search on a document repository
The TESEO database is an online repository containing the details of all PhD thesis from Spanish universities. It offers an html/form based search interface where you can look up theses by author, topic, university, etc. As a UI it is rather painful to use and quite limited, I must say, but that’s another story. While we wait for an open data version of this public content we have to find workarounds to query and analyse it. This is what this QuickGraph is about.
Continue reading “QuickGraph#13 Using a SKOS taxonomy for semantic search on a document repository”QuickGraph#11 The Christmas messages graph
It’s this time of the year… when heads of state address their nations with messages of hope and reflect on the past year and the challenges ahead. I was looking for a data set to do some text analysis and I thought this could be an interesting one. I collected a few Christmas messages from some of Europe’s heads of state (to be more precise, the English translations available).
Continue reading “QuickGraph#11 The Christmas messages graph”
QuickGraph#10 Enrich your Neo4j Knowledge Graph by querying Wikidata
Wikidata is a collaboratively edited knowledge base. It is a source of open data that you may want to use in your projects. Wikidata offers a query service for integrations. In this QuickGraph, I will show how to use the Wikidata Query Service to get data into Neo4j. Continue reading “QuickGraph#10 Enrich your Neo4j Knowledge Graph by querying Wikidata”
QuickGraph#9 The fashion Knowledge Graph. Inferencing with Ontologies in Neo4j
Last winter I had the opportunity to meet Katariina Kari at a Neo4j event in Helsinki. We had a conversation about graphs, RDF, LPG… we agreed on some things… and disagreed on others 🙂 but I remember telling her that I had found very interesting a post she had published on how they were using Ontologies to drive semantic searches on the Zalando web site.
I’ll use her example from that post and show how you can implement semantic searches/recommendations in Neo4j and leverage existing Ontologies (public standards or your own). That’s what this QuickGraph is about.
I assume you have some level of familiarity with RDF and semantic technologies. Continue reading “QuickGraph#9 The fashion Knowledge Graph. Inferencing with Ontologies in Neo4j”
QuickGraph#8 Cloning subgraphs between Neo4j instances with Cypher+RDF
I have two Neo4j instances: let’s call them instance-one and instance-two. My problem is simple, I want an easy way to copy fragments of the graph stored in instance-one to instance-two. In this post, I’ll explain here how to use:
- Cypher to define the subgraph to be cloned and
- RDF as the model for data exchange (serialisation format)
All with the help of the neosemantics plugin. Continue reading “QuickGraph#8 Cloning subgraphs between Neo4j instances with Cypher+RDF”
QuickGraph#7 Creating a schema.org linked data endpoint on Neo4j
In this instalment of the QuickGraph series, I’ll show how to map a graph stored in Neo4j to an ontology (or schema, or vocabulary…) using the neosemantics extension. Continue reading “QuickGraph#7 Creating a schema.org linked data endpoint on Neo4j”
Jesús Barrasa 