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  1. Top results related to wikidata query service for windows 10 desktop

  2. May 16, 2024 · Wikidata Query Service (WDQS) https://query.wikidata.org/sparql: Run SPARQL Queries upon Wikidata's wikibase. Run, test, download the data as xml, json, csv or tsv. Has advanced user-friendly features such as : word hovering too see a term's meaning, code optimization, etc. Wikimedia Commons Query Service (WCQS)

    • Deutsch

      SPARQL ("Sparkl" ausgesprochen) ist eine RDF-Abfragesprache,...

    • Italiano

      SPARQL (pronunciato come sparkle in inglese, parola che...

    • Eesti

      Wikidata:SPARQL query service/Documentation - a hub for...

    • Euskara

      SPARQL (pronounced "sparkle") is an RDF query language, that...

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      Wikidata:SPARQL query service/Documentation - een hub voor...

    • Dansk

      SPARQL (udtales "sparkle") er et RDF-forespørgselssprog, det...

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      SPARQL (uttalas som engelskans "sparkle") är ett...

    • British English

      SPARQL (pronounced "sparkle") is an RDF query language, that...

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      SPARQL (wym. „sparkel”) jest językiem zapytań RDF, czyli...

    • Perkhidmatan Pertanyaan Sparql

      Wikidata:SPARQL query service/Documentation - a hub for...

  3. Jan 29, 2020 · Wikidata offers a query service for integrations. — Jesús Barrasa. QuickGraph#10 Enrich your Neo4j Knowledge Graph by querying Wikidata. The query service can be accessed by navigating to query.wikidata.org If we go there, we’ll see the following screen: Figure 2. Wikidata Query Service.

  4. Jul 26, 2017 · How to create a local Wikidata query service? Asked 6 years, 10 months ago. Modified 7 months ago. Viewed 3k times. 3. I'm trying to run a SPARQL query on Wikidata, but it times out. I'd like to download a dump and index it in some database, so I can run local SPARQL queries using HTTP requests.

  5. Oct 19, 2020 · Wikidata is a free and open knowledge base that allows humans and machines to access linked data. 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.

    • Code
    • Build Blazegraph
    • Create and Commit Puppet Code
    • Manual Steps
    • Sources
    • Labs Deployment
    • Production Deployment
    • Warning
    • Reloading
    • Manual Process

    The source code is in Gerrit project wikidata/query/rdf.In order to start working on Wikidata Query Service codebase, clone this repository: or GitHub mirror: or if you want to push changes and have a Gerrit account: Then you can build the distribution package by running: and the package will be in the dist/targetdirectory. Or, to run Blazegraph se...

    If there are changes needed to Blazegraph source, they should be checked into wikidata/query/blazegraphrepo. After that, the new Blazegraph sub-version should be built and WDQS should switch to using it. The procedure to follow: 1. Commit fixes (watch for extra whitespace changes!) 2. Update README.wmfwith descriptions of which changes were done ag...

    When a server is racked by DC Ops, they will add it to the Puppet repo's site.pp. See the Server Lifecycle pagefor more details on DC Ops' process.

    Once Puppet runs, there are a few manual steps required. These are temporary and subject to change. See this Phab ticketfor more context . 1. Remove /srv/deployment/wdqs/* and do a forced scap deploy More details on why at T342162. 1. Run data-transfer cookbook Needed to get the actual Blazegraph data onto the server. As of this writing, the cookbo...

    The source code is in the Gerrit project wikidata/query/rdf (GitHub mirror).The GUI source code is Gerrit project wikidata/query/gui (GitHub mirror), which is also a submodule of the main project. The deployment version of the query service is in the Gerrit project wikidata/query/deploy,with the deployment version of the GUI, wikidata/query/gui-dep...

    Note that currently deployment is via git-fat (see below) which may require some manual steps after checkout. This can be done as follows: 1. Check out wikidata/query/deploy repository and update gui submodule to current production branch (git submodule update). 2. Run git-fat pullto instantiate the binaries if necessary. 3. rsync the files to depl...

    Production deployment is done via git deployment repository wikidata/query/deploy. The procedure is as follows:

    Reloading data is a time-consuming (~17 days) and fragile process. When possible, transfer data instead of reloading. As of this writing, it is not possible to complete a reload from codfw due to NFS issues, so be sure to use eqiad datacenter only. You can then use the data transfer process to send the data from eqiad to codfw.

    Ensure clouddumps1001.wikimedia.org is mounted via NFS on the target host

    Eventually we will move to rsync, but for now, you'll have to update puppet to mount the clouddumps hosts via NFS on your target server. Example PRs for mounting and opening the software firewall. You can combine your changes as a single PR, we just screwed it up on those two ;) .

    Run the data-reload cookbook

    Use the data-reload cookbookfrom cumin. Note that the process takes around 17 days to complete. Bugs in Blazegraph can cause the reload to corrupt itself. If that happens, you have to start the process over again.

    The manual process is not used anymore, but is documented in this page's historyjust in case. Transferring data from between nodes is typically faster than recovering from a dump. The port 9876 is opened between the wdqs nodes of the same cluster for that purpose. Across different clusters, that port needs to be opened manually (and closed after th...

  6. Mar 24, 2024 · The Wikidata Query Service provides a SPARQL endpoint including a powerful Web-GUI. SPARQL (pronounced "sparkle") is an RDF query language, that is, a semantic query language for databases. With SPARQL, you can extract any kind of data, with a query composed of logical combinations of triples.

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  8. Oct 23, 2019 · 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.

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