HARE: An engine for enhancing answer completeness of SPARQL queries via crowdsourcing
HARE: An engine for enhancing answer completeness of SPARQL queries via crowdsourcing
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.
501-505
Association for Computing Machinery
Acosta, Maribel
1b83a27a-6ff5-4ec8-91a7-3fc6341db36d
Simperl, Elena
40261ae4-c58c-48e4-b78b-5187b10e4f67
Floeck, Fabian
fbcaf058-8549-456c-9587-941629668418
Vidal, Maria-Esther
66ba9a31-2af4-452c-9839-92db00f638e0
April 2018
Acosta, Maribel
1b83a27a-6ff5-4ec8-91a7-3fc6341db36d
Simperl, Elena
40261ae4-c58c-48e4-b78b-5187b10e4f67
Floeck, Fabian
fbcaf058-8549-456c-9587-941629668418
Vidal, Maria-Esther
66ba9a31-2af4-452c-9839-92db00f638e0
Acosta, Maribel, Simperl, Elena, Floeck, Fabian and Vidal, Maria-Esther
(2018)
HARE: An engine for enhancing answer completeness of SPARQL queries via crowdsourcing.
In,
WWW'18 Companion of the The Web Conference 2018 on The Web Conference 2018.
ACM WWW'18 : The Web Conference 2018 (23/04/18 - 27/04/18)
Geneva.
Association for Computing Machinery, .
(doi:10.1145/3184558.3186241).
Record type:
Book Section
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.
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More information
e-pub ahead of print date: 23 April 2018
Published date: April 2018
Venue - Dates:
ACM WWW'18 : The Web Conference 2018, Université de Lyon, Lyon, France, 2018-04-23 - 2018-04-27
Identifiers
Local EPrints ID: 419990
URI: http://eprints.soton.ac.uk/id/eprint/419990
PURE UUID: d831c08b-fd59-4ddc-b898-e28416cf0cda
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Date deposited: 25 Apr 2018 16:30
Last modified: 15 Mar 2024 19:32
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Contributors
Author:
Maribel Acosta
Author:
Fabian Floeck
Author:
Maria-Esther Vidal
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