@inproceedings{90d8f4c3b2df42729cd148f874516f6a,
title = "HARE: An Engine for Enhancing Answer Completeness of SPARQL Queries via Crowdsourcing",
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.",
keywords = "RDF, SPARQL, completeness, crowdsourcing, query execution",
author = "Maribel Acosta and Elena Simperl and Fabian Fl{\"o}ck and Vidal, {Maria Esther}",
note = "Publisher Copyright: {\textcopyright} 2018 IW3C2 (International World Wide Web Conference Committee), published under Creative Commons CC BY 4.0 License.; 27th International World Wide Web, WWW 2018 ; Conference date: 23-04-2018 Through 27-04-2018",
year = "2018",
month = apr,
day = "23",
doi = "10.1145/3184558.3186241",
language = "English",
series = "The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018",
publisher = "Association for Computing Machinery, Inc",
pages = "501--505",
booktitle = "The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018",
}