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”
Tag: RDF
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”
Neo4j is your RDF store (part 3) : Thomson Reuters’ OpenPermID
- Applying transformations to the imported RDF graph to make it benefit from the LPG modelling capabilities and enriching the graph with additional complementary data sources.
- Querying the graph to do complex path analysis and use graph patterns to detect data quality issues like data duplication and also to profile your dataset
- Integrate Neo4j with standard BI tools to build nice charts on the output of Cypher queries on your graph.
- Building an RDF API on top of your Neo4j graph.
All the code I’ll use is available on GitHub. Enjoy!
Continue reading “Neo4j is your RDF store (part 3) : Thomson Reuters’ OpenPermID”
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 can be exposed as RDF. That was identifying a node by ID or URI if your data was imported from an RDF dataset. In this one, I’ll explore a more interesting way by running Cypher queries and serialising the resulting subgraph as RDF. Continue reading “Neo4j is your RDF store (part 2)”
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 of storing data.
What do I mean by that? I mean that data can be persisted in many ways: tables, documents, key-value pairs, property graphs, triple graphs… and still be published/exchanged as RDF. Continue reading “Neo4j is your RDF store (part 1)”
