Alice Mannocci, Claudio Bontempi, Guglielmo Giraldi, Giacomina Chiaradia, Chiara de Waure, Antonella Sferrazza, Walter Ricciardi, Antonio Boccia, Giuseppe La Torre
[EpiInfo as a research and teaching tool in epidemiology and statistics: strengths and weaknesses]
Igiene e sanita pubblica
recent years witnessed proliferation largescale knowledge bases including wikipedia freebase yago microsofts satori googles knowledge graph increase scale even need explore automatic methods constructing knowledge bases previous approaches primarily focused textbased extraction noisy introduce knowledge vault webscale probabilistic knowledge base combines extractions web content obtained via analysis text tabular data page structure human annotations prior knowledge derived existing knowledge repositories employ supervised machine learning methods fusing distinct information sources knowledge vault substantially bigger previously published structured knowledge repository features probabilistic inference system computes calibrated probabilities fact correctness report results multiple studies explore relative utility different information sources extraction methods