SPARQL

• SPARQL Protocol and [[RDF]] Query Language
• W3C [[Specification]]s*
  • SPARQL 1.1 Overview (this document)
  • SPARQL 1.1 Query Language (the main specification)
  • SPARQL 1.1 Update
  • SPARQL1.1 Service Description
  • SPARQL 1.1 Federated Query
  • SPARQL 1.1 Query Results JSON Format
  • SPARQL 1.1 Query Results CSV and TSV Formats
  • SPARQL Query Results XML Format (Second Edition)
  • SPARQL 1.1 Entailment Regimes
  • SPARQL 1.1 Protocol
  • SPARQL 1.1 Graph Store HTTP Protocol
• [[Tutorial]]s id:: 61ef8d42-1ee1-414c-94c7-95bf57b64808
  • SPARQL in 11 minutes #Video
  • SPARQL lectures from open HPI #Video
  • SPARQL Tutorial by data.world #[[data.world]]
  • SPARQL Tutorial by Apache Jena
  • SPARQL Tutorial by Triply #Triply #Video
  • SPARQL Tutorial by Stardog #Stardog
  • Wikidata SPARQL tutorial #Wikidata
    • Statements with Qualifiers id:: 61fe46bb-6fc5-4d5e-b917-d0da5b02a96a
  • Wikidata SPARQL tutorial (new) #Wikidata
  • Querying Wikidata: SELECT vs CONSTRUCT #Wikidata
  • Constructing More Advanced SPARQL Queries by Angus Addlesee

• [[Note]]s
  • Officially they are called "recommendations" id:: 61e6a022-75b3-4590-b792-352133b149ed

• [[jonny]] https://social.coop/@jonny/109327688014029017 pull
• [[jonny@social.coop]] https://social.coop/@jonny/109701225022288752 pull
• [[jonny@neuromatch.social]] https://neuromatch.social/@jonny/110511123465353083 pull
• [[jonny@social.coop]] https://social.coop/@jonny/110628827759665493 pull

• [[kvistgaard]] https://twitter.com/kvistgaard/status/1515565205597704192 pull
• [[kvistgaard]] https://twitter.com/kvistgaard/status/1534888246341156865 pull
• [[2022-12-05 20:46:42+00:00]] @[[kausch]]: https://twitter.com/kausch/status/1599867883232067585 pull

• [[2022-11-09 21:22:56+00:00]] @[[kausch]]: https://twitter.com/kausch/status/1590454916795240448 pull

• [[2024-09-03T16:58:48.019Z]] @[[velitchkov.eu]]: https://bsky.app/profile/did:plc:ij6qgzlhgjg2fie4lgt4inmz/post/3l3bbwdmjrv2h

• [[2022-12-05 20:46:42+00:00]] @[[kausch]]: https://twitter.com/kausch/status/1599867883232067585 pull

RT @kidehen: I asked the new #gptChat service to write a #SPARQL query using #DBpedia as the data source.

To my surprise it worked!

#Ope…

• [[2022-11-09 21:22:56+00:00]] @[[kausch]]: https://twitter.com/kausch/status/1590454916795240448 pull

I wrote a fun little script using @dbpedia #sparql endpoint, and the kerykeion library (https://t.co/2wByvF5DWS) to generate natal horoscopes of authors in a library catalogue! Thanks dbo:birthDate and dbo:birthPlace! https://t.co/f0GocL5Tpu https://t.co/GvRP2R7gk0