HARE: An Engine for Enhancing Answer Completeness of SPARQL Queries via Crowdsourcing

Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

Autoren

  • Maribel Acosta
  • Elena Simperl
  • Fabian Flöck
  • Maria Esther Vidal

Organisationseinheiten

Externe Organisationen

  • Karlsruher Institut für Technologie (KIT)
  • University of Southampton
  • GESIS - Leibniz-Institut für Sozialwissenschaften
  • Universidad Simon Bolivar
  • Technische Informationsbibliothek (TIB) Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des SammelwerksThe Web Conference 2018
UntertitelCompanion of the World Wide Web Conference, WWW 2018
Seiten501-505
Seitenumfang5
ISBN (elektronisch)9781450356404
PublikationsstatusVeröffentlicht - Apr. 2018
Veranstaltung27th International World Wide Web, WWW 2018 - Lyon, Frankreich
Dauer: 23 Apr. 2018 → 27 Apr. 2018

Publikationsreihe

NameACM Digital Library

Abstract

We propose HARE, a SPARQL query engine that encompasses human-machine query processing to augment the completeness of query answers. We empirically assessed the effectiveness of HARE on 50 SPARQL queries over DBpedia. Experimental results clearly show that our solution accurately enhances answer completeness.

ASJC Scopus Sachgebiete

Zitieren

HARE: An Engine for Enhancing Answer Completeness of SPARQL Queries via Crowdsourcing. / Acosta, Maribel; Simperl, Elena; Flöck, Fabian et al.
The Web Conference 2018: Companion of the World Wide Web Conference, WWW 2018. 2018. S. 501-505 (ACM Digital Library).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

Acosta, M, Simperl, E, Flöck, F & Vidal, ME 2018, HARE: An Engine for Enhancing Answer Completeness of SPARQL Queries via Crowdsourcing. in The Web Conference 2018: Companion of the World Wide Web Conference, WWW 2018. ACM Digital Library, S. 501-505, 27th International World Wide Web, WWW 2018, Lyon, Frankreich, 23 Apr. 2018. https://doi.org/10.2139/ssrn.3199306, https://doi.org/10.1145/3184558.3186241
Acosta, M., Simperl, E., Flöck, F., & Vidal, M. E. (2018). HARE: An Engine for Enhancing Answer Completeness of SPARQL Queries via Crowdsourcing. In The Web Conference 2018: Companion of the World Wide Web Conference, WWW 2018 (S. 501-505). (ACM Digital Library). https://doi.org/10.2139/ssrn.3199306, https://doi.org/10.1145/3184558.3186241
Acosta M, Simperl E, Flöck F, Vidal ME. HARE: An Engine for Enhancing Answer Completeness of SPARQL Queries via Crowdsourcing. in The Web Conference 2018: Companion of the World Wide Web Conference, WWW 2018. 2018. S. 501-505. (ACM Digital Library). Epub 2018 Apr 23. doi: 10.2139/ssrn.3199306, 10.1145/3184558.3186241
Acosta, Maribel ; Simperl, Elena ; Flöck, Fabian et al. / HARE: An Engine for Enhancing Answer Completeness of SPARQL Queries via Crowdsourcing. The Web Conference 2018: Companion of the World Wide Web Conference, WWW 2018. 2018. S. 501-505 (ACM Digital Library).
Download
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