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NEO4J ALLOW NULL IN RESULT HOW TO
NEO4J ALLOW NULL IN RESULT SERIES

Balin was the diarist for the Thorin and Company group.

NEO4J ALLOW NULL IN RESULT SERIES

It was at this moment that I realized the whole Hobbit series are included. MATCH (n:Group)(o)Ĭollect(distinct o.name) as occupations Let’s investigate the results of the groups and the occupation of the characters. After we have downloaded the data with APOC, we store the results to Neo4j. This can be translated as “We would like to fetch an item, which is an instance of (wdt: P31) an entity with an id Q989255“. To get the occurrences of a specific item, we use the following SPARQL clause: ?item wdt:P31 wd:Q989255 Basically, all the races in the LOTR world are an instance of the Middle-earth races entity with id Q989255.

NEO4J ALLOW NULL IN RESULT HOW TO

If you need a basic introduction on how to query WikiData, I suggest this tutorial on Youtube. I have to admit I am a total noob when it comes to SPARQL, so I won’t be explaining the syntax in depth. We will start by importing all the races in the LOTR world. You should check out the Neosematics library if you work a lot with RDF data. Besides the ability to fetch data from any REST API, it also features integrations with other databases such as MongoDB or relational databases via the JDBC driver. If you don’t know yet, APOC provides excellent support for importing data into Neo4j. WikiData importĪs mentioned, we will fetch the data from the WikiData API with the help of the procedure. We know some additional information about the characters such as their country, race, and any group they are members of. We have a social network of characters with familial ties like SPOUSE, SIBLING, HAS_FATHER, and even not so familial relationships like ENEMY. I am delighted to say that this time it is a bit more complicated. We have been using simple graph schemas for quite some time now. Run it only after we have imported the graph CALL db.schema.visualization() It is a convenient procedure that automatically captures the schema of the stored graph. You can always visualize the graph schema in Neo4j Browser with the db.schema.visualization() procedure.

Graph visualizations with Bloom (cool part!).

Make sure you have some popcorn nearby and get ready for some in-depth graph analysis. To top it off, we will run a couple of graph algorithms and prepare some beautiful visualizations. In the next step, we will prepare an exploratory data analysis and show how to populate missing values based on some hypothesis.

By the time we are done, we will scrape most of the LOTR information available on WikiData. We will begin by importing the data into Neo4j via the WikiData API. After so much success of my previous lengthy post about combining NLP techniques and graphs, I have prepared another exhaustive post for you.