While looking working on my recent WikiCrowd project I ended up looking at the ontological tree of both Wikidata entities and Wikimedia Commons categories. In this post, I’ll look at some of the ontology mappings that happen between projects, some of the SPARQL that can help you use this ontology in tools, and also some…
Tag: wikidata query service
Testing WDQS Blazegraph data load performance
Toward the end of 2020 I spent some time blackbox testing data load times for WDQS and Blazegraph to try and find out which possible setting tweaks might make things faster. I didn’t come to any major conclusions as part of this effort but will write up the approach and data nonetheless incase it is…
Faster munging for the Wikidata Query Service using Hadoop
The Wikidata query service is a public SPARQL endpoint for querying all of the data contained within Wikidata. In a previous blog post I walked through how to set up a complete copy of this query service. One of the steps in this process is the munge step. This performs some pre-processing on the RDF…
Using OpenRefine with Wikidata for the first time
I have long known about OpenRefine (previously Google Refine) which is a tool for working with data, manipulating and cleaning it. As of version 3.0 (May 2018), OpenRefine included a Wikidata extension, allowing for extra reconciliation and also editing of Wikidata directly (as far as I understand it). You can find some documentation on this…
Changing the concept URI of an existing Wikibase with data
Many users of Wikibase find themselves in a position where they need to change the concept URI of an existing Wikibase for one or more reasons, such as a domain name update or desire to have https concept URIs instead of HTTP. Below I walk through a minimal example of how this can be done…
Your own Wikidata Query Service, with no limits
The Wikidata Query Service allows anyone to use SPARQL to query the continuously evolving data contained within the Wikidata project, currently standing at nearly 65 millions data items (concepts) and over 7000 properties, which translates to roughly 8.4 billion triples. You can find a great write up introducing SPARQL, Wikidata, the query service and what…