A review of relational machine learning for knowledge graphs

Proceedings of the IEEE

Volumn 104, Issue 1, 2016, Pages 11-33

  Nickel, Maximilian ^a,b   Murphy, Kevin ^c   Tresp, Volker ^d,e   Gabrilovich, Evgeniy ^c  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b ISTITUTO ITALIANO DI TECNOLOGIA   (Italy)

^c GOOGLE INC   (United States)

^d SIEMENS AG   (Germany)

^e UNIVERSITY OF MUNICH   (Germany)

Author keywords

Graph based models; knowledge extraction; knowledge graphs; latent feature models; statistical relational learning

Indexed keywords

GRAPHIC METHODS; MACHINE LEARNING; STATISTICS;

FEATURE MODELS; GRAPH-BASED MODELS; KNOWLEDGE EXTRACTION; KNOWLEDGE GRAPHS; STATISTICAL RELATIONAL LEARNING;

DATA MINING;

EID: 84943791201     PISSN: 00189219     EISSN: 15582256     Source Type: Journal    
DOI: 10.1109/JPROC.2015.2483592     Document Type: Review

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