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  1. Overview. In the previous Wikidata Query Service (WDQS) August scaling update, I gave an overview of the severity and risk of the current scaling challenges for WDQS. As the means of building, editing and accessing the knowledge graph built from Wikidata triples, the risk of WDQS failure is a major risk of Wikidata failure.

  2. Dec 1, 2023 · Real-time updates. To reduce the complexity of the experiment, we will focus on a static dump. If the experiment is successful, more work will be done to ensure that those split graphs can be updated in real time.

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  4. Mar 3, 2024 · Wikidata Query Service is the Wikimedia implementation of SPARQL server, based on the Blazegraph engine, to service queries for Wikidata and other data sets. Please see more detailed description in the User Manual .

  5. Jan 29, 2020 · Wikidata Query Service. There are a bunch of examples that we can pick from, but we’re going to start with something even simpler than that. Wikidata stores data in triples of the form (subject, predicate, object), so we’ll start with a query that returns one such triple: SELECT * WHERE {. ?subject ?predicate ?object.

  6. The current SLO is that the service should be available 95% of the time with an update lag < 10 minutes. WDQS exposes both a public endpoint accessible by anyone on the internet and an internal endpoint accessible only inside of the Wikimedia datacenters.

  7. Oct 19, 2020 · To support the international Wikidata community, Wikimedia Israel has developed a tutorial for the Query Service. With the tutorial, the chapter aims to empower new users to query Wikidata, which currently holds almost 90 million items.

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