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Inproceedings3196
Abstract SPARQL is one of the main APIs for accessi
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.
ial for obtaining meaningful results here.  +
Author Adrian Bielefeldt + , Julius Gonsior + , Markus Krötzsch +
BibTex
@inproceedings{BGK2018,
  author    = {Adrian Bielefeldt and Julius Gonsior and Markus Kr{\"{o}}tzsch},
  title     = {Practical Linked Data Access via {SPARQL:} The Case of Wikidata},
  editor    = {Tim Berners-Lee and Sarven Capadisli and Stefan Dietze and Aidan
               Hogan and Krzysztof Janowicz and Jens Lehmann},
  booktitle = {Proceedings of the {WWW2018} Workshop on Linked Data on the Web
               (LDOW-18)},
  series    = {CEUR Workshop Proceedings},
  volume    = {2073},
  publisher = {CEUR-WS.org},
  year      = {2018}
}
Bibtype Inproceedings  +
Booktitle Proceedings of the WWW2018 Workshop on Linked Data on the Web (LDOW-18)  +
Download Wikidata-SPARQL-queries-Bielefeldt-Gonsior-Kroetzsch-LDOW-2018.pdf  +
Editor Tim Berners-Lee, Sarven Capadisli, Stefan Dietze, Aidan Hogan, Krzysztof Janowicz, Jens Lehmann  +
ErsterAutorNachname Bielefeldt  +
ErsterAutorVorname Adrian  +
Forschungsgebiet Semantische Technologien +
Forschungsgruppe Wissensbasierte Systeme +
Note The data used in this publication is avail
The data used in this publication is available in the form of anonymised '''[[Wikidata SPARQL Logs/en|Wikidata SPARQL query logs]]'''. There are some discrepancies in the counts since the workshop paper also took queries into account that were not answered in a regular fashion, whereas the published logs restrict to HTTP status 200 (success) responses. The analysis does not change in its main findings due to this.
t change in its main findings due to this.  +
Projekt Cfaed, DIAMOND, HAEC B08, Wikidata + , Cfaed + , DIAMOND + , HAEC B08 + , Wikidata +
Publication text Adrian Bielefeldt, Julius Gonsior, Markus
Adrian Bielefeldt, Julius Gonsior, Markus Krötzsch<br/> '''[[Inproceedings3196|<b>Practical Linked Data Access via SPARQL: The Case of Wikidata</b>]]''' <br/>__NOTOC__In Tim Berners-Lee, Sarven Capadisli, Stefan Dietze, Aidan Hogan, Krzysztof Janowicz, Jens Lehmann, eds., <i>Proceedings of the WWW2018 Workshop on Linked Data on the Web (LDOW-18)</i>, volume 2073 of CEUR Workshop Proceedings, 2018. CEUR-WS.org<br/><span class="glyphicon glyphicon-chevron-right" style="font-size: 85%;" ></span> [[Inproceedings3196|Details]] <span class="glyphicon glyphicon-chevron-right" style="font-size: 85%; margin-left: 2ex; "></span> [[Media:Wikidata-SPARQL-queries-Bielefeldt-Gonsior-Kroetzsch-LDOW-2018.pdf|Download]]
Gonsior-Kroetzsch-LDOW-2018.pdf|Download]]  +
Publication text en Adrian Bielefeldt, Julius Gonsior, Markus
Adrian Bielefeldt, Julius Gonsior, Markus Krötzsch<br/> '''[[Inproceedings3196/en|<b>Practical Linked Data Access via SPARQL: The Case of Wikidata</b>]]''' <br/>__NOTOC__In Tim Berners-Lee, Sarven Capadisli, Stefan Dietze, Aidan Hogan, Krzysztof Janowicz, Jens Lehmann, eds., <i>Proceedings of the WWW2018 Workshop on Linked Data on the Web (LDOW-18)</i>, volume 2073 of CEUR Workshop Proceedings, 2018. CEUR-WS.org<br/><span class="glyphicon glyphicon-chevron-right" style="font-size: 85%;" ></span> [[Inproceedings3196|Details]] <span class="glyphicon glyphicon-chevron-right" style="font-size: 85%; margin-left: 2ex;" ></span> [[Media:Wikidata-SPARQL-queries-Bielefeldt-Gonsior-Kroetzsch-LDOW-2018.pdf|Download]]
Gonsior-Kroetzsch-LDOW-2018.pdf|Download]]  +
Publisher CEUR-WS.org  +
Referiert 1  +
Resource Wikidata SPARQL Logs +
Series CEUR Workshop Proceedings  +
Slides Wikidata-SPARQL-analysis-LDOW2018-slides.pdf  +
Title Practical Linked Data Access via SPARQL: The Case of Wikidata  +
To appear 0  +
Type inproceedings  +
Volume 2073  +
Year 2018  +
Hat Abfrage
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Kategorien Inproceedings , Publikation
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