HARE-Reference-Cited by-同舟云学术

HARE

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18
language:
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Author:

Acosta Maribel¹,Simperl Elena²,Flöck Fabian³,Vidal Maria-Esther⁴

Affiliation:

1. Karlsruhe Institute of Technology, Karlsruhe, Germany

2. University of Southampton, Southampton, United Kingdom

3. GESIS - Leibniz Institute for the Social Sciences, Köln, Germany

4. TIB Information Center - Universidad Simon Bolivar, Hannover, Germany

Publisher

ACM Press

Reference7 articles.

1. Ziawasch Abedjan, Toni Grütze, Anja Jentzsch, and Felix Naumann. 2014. Profiling and mining RDF data with ProLOD+. In IEEE 30th International Conference on Data Engineering, Chicago, ICDE 2014, IL, USA, March 31 - April 4, 2014. 1198--1201.

2. Maribel Acosta, Elena Simperl, Fabian Flöck, and Maria-Esther Vidal. 2015. HARE: A Hybrid SPARQL Engine to Enhance Query Answers via Crowdsourcing Proceedings of the 8th International Conference on Knowledge Capture, K-CAP 2015, Palisades, NY, USA, October 7--10, 2015. 11:1--11:8.

3. Maribel Acosta, Elena Simperl, Fabian Flöck, and Maria-Esther Vidal. 2017. Enhancing answer completeness of SPARQL queries via crowdsourcing. Web Semantics: Science, Services and Agents on the World Wide Web (2017). /10.1007/3--540--45921--9

4. H. Park, R. Pang, A. G. Parameswaran, H. Garcia-Molina, N. Polyzotis, and J. Widom. 2012. Deco: A System for Declarative Crowdsourcing. PVLDB, Vol. 5, 12 (2012), 1990--1993.

5. Hyunjung Park and Jennifer Widom. 2013. Query Optimization over Crowdsourced Data. PVLDB, Vol. 6, 10 (2013), 781--792.

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