Factorizing YAGO : Scalable machine learning for linked data

WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web

Volumn , Issue , 2012, Pages 271-280

  Nickel, Maximilian ^a   Tresp, Volker ^b   Kriegel, Hans Peter ^a  

^a UNIVERSITY OF MUNICH   (Germany)

^b SIEMENS AG   (Germany)

Author keywords

Large scale machine learning; Linked open data; Relational learning; Semantic web; Tensor factorization

Indexed keywords

ALTERNATIVE APPROACH; DATA INCONSISTENCIES; DUAL-CORE; KNOWLEDGE BASE; LINKED DATUM; LINKED OPEN DATA; MULTIPLE NODES; PARTIAL DATA; RELATIONAL LEARNING; STRUCTURED INFORMATION; TENSOR FACTORIZATION;

DATA HANDLING; FACTORIZATION; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; SEMANTIC WEB; TENSORS; WORLD WIDE WEB;

LEARNING ALGORITHMS;

EID: 84860859524     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2187836.2187874     Document Type: Conference Paper

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