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HARE : A Hybrid SPARQL Engine to Enhance Query Answers v..:

, In: Proceedings of the 8th International Conference on Knowledge Capture,

Acosta, Maribel ; Simperl, Elena ; Flöck, Fabian. - p. 1-8 , 2015

Link: https://dl.acm.org/doi/10.1145/2815833.2815848

RT 
T1 <cTitle>Proceedings of the 8th International Conference on Knowledge Capture</cTitle>: T1 <Title>HARE				: A Hybrid SPARQL Engine to Enhance Query Answers via Crowdsourcing</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-2815848&Exemplar=1&LAN=DE
				
A1 Acosta, Maribel
A1 Simperl, Elena
A1 Flöck, Fabian
A1 Vidal, Maria-Esther
PB ACM
YR 2015
K1 Completeness Model
K1 Crowd Knowledge
K1 Crowdsourcing
K1 Hybrid System
K1 Microtasks
K1 Query Execution
K1 RDF Data
K1 SPARQL Query
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Database theory
K1 Database query processing and optimization (theory)
K1 Information systems
K1 Data management systems
K1 Database management system engines
K1 Database query processing
K1 Computing methodologies
K1 Artificial intelligence
K1 Knowledge representation and reasoning
K1 Human-centered computing
K1 Human computer interaction (HCI)
K1 Interaction paradigms
K1 Web-based interaction
K1 Logic
SP 1
OP 8
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2815833.2815848
DO https://dl.acm.org/doi/10.1145/2815833.2815848
SF ELIB - SuUB Bremen

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