Practical Linked Data Access via SPARQL: The Case of Wikidata

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Practical Linked Data Access via SPARQL: The Case of Wikidata

Adrian BielefeldtAdrian Bielefeldt,  Julius GonsiorJulius Gonsior,  Markus KrötzschMarkus Krötzsch
Adrian Bielefeldt, Julius Gonsior, Markus Krötzsch
Practical Linked Data Access via SPARQL: The Case of Wikidata
Proceedings of the WWW2018 Workshop on Linked Data on the Web (LDOW-18), CEUR Workshop Proceedings, to appear. CEUR-WS.org
  • KurzfassungAbstract
    SPARQL is one of the main APIs for accessing linked data collections. Compared to other modes of access, SPARQL queries carry much more information on the precise information need of users, and their analysis can therefore yield valuable insights into the practical usage of linked data sets. In this paper, we focus on Wikidata, the knowledge-graph sister of Wikipedia, which offers linked data exports and a heavily used SPARQL endpoint since 2015. Our detailed analysis of Wikidata's server-side query logs reveals several important differences to previously studied uses of SPARQL over large knowledge graphs. Wikidata queries tend to be much more complex and varied than queries observed elsewhere. Our analysis is founded on a simple but effective separation of robotic from organic traffic. Whereas the robotic part is highly volatile and seems unpredictable even on larger time scales, the much smaller organic part shows clear trends in individual human usage. We analyse query features, structure, and content to gather further evidence that our approach is essential for obtaining meaningful results here.
  • Projekt:Project: CfaedDIAMONDHAEC B08Wikidata
  • Forschungsgruppe:Research Group: Wissensbasierte Systeme
@inproceedings{BGK2018,
  author    = {Adrian Bielefeldt and Julius Gonsior and Markus Kr{\"{o}}tzsch},
  title     = {Practical Linked Data Access via {SPARQL:} The Case of Wikidata},
  booktitle = {Proceedings of the {WWW2018} Workshop on Linked Data on the Web
               (LDOW-18)},
  series    = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
  year      = {2018}
}