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.

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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.

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QuickGraph#12 Working with a Multilingual Thesaurus

The UNESCO Thesaurus is a controlled and structured list of terms in the areas of education, culture, natural sciences, social and human sciences, communication and information. It’s used used to annotate documents and publications like the ones in the UNESDOC digital library.

The Thesaurus is available as a multilingual SKOS concept scheme and at the time of writing, the available languages were English, Spanish, French, Russian and Arabic (download link).

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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” →

Neo4j is your RDF store (part 3) : Thomson Reuters’ OpenPermID

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 this post is what I think is the more interesting part, which is what comes after the data import, here are some highlights:

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” →

QuickGraph#6 Building the Wikipedia Knowledge Graph in Neo4j (QG#2 revisited)

After last week’s Neo4j online meetup, I thought I’d revisit QuickGraph#2 and update it a bit to include a couple new things:

How to load not only categories but also pages (as in Wikipedia articles) and enrich the graph by querying DBpedia. In doing this I’ll describe some advanced usage of APOC procedures.
How to batch load the whole Wikipedia hierarchy of categories into Neo4j

Continue reading “QuickGraph#6 Building the Wikipedia Knowledge Graph in Neo4j (QG#2 revisited)” →