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SIGMa : simple greedy matching for aligning large knowle..:

, In: Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining,

Lacoste-Julien, Simon ; Palla, Konstantina ; Davies, Alex... - p. 572-580 , 2013

Link: https://dl.acm.org/doi/10.1145/2487575.2487592

RT 
T1 <cTitle>Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining</cTitle>: T1 <Title>SIGMa				: simple greedy matching for aligning large knowledge bases</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-2487592&Exemplar=1&LAN=DE
				
A1 Lacoste-Julien, Simon
A1 Palla, Konstantina
A1 Davies, Alex
A1 Kasneci, Gjergji
A1 Graepel, Thore
A1 Ghahramani, Zoubin
PB ACM
YR 2013
K1 alignment
K1 entity
K1 greedy algorithm
K1 knowledge base
K1 large-scale
K1 relationship
K1 Information systems
K1 Data management systems
K1 Middleware for databases
K1 Object-relational mapping facilities
K1 Information integration
K1 Computing methodologies
K1 Artificial intelligence
K1 Knowledge representation and reasoning
K1 Semantic networks
K1 Information storage systems
K1 Storage architectures
K1 Storage network architectures
SP 572
OP 580
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2487575.2487592
DO https://dl.acm.org/doi/10.1145/2487575.2487592
SF ELIB - SuUB Bremen

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