Adrieli de Fátima Massaro Levorato, Selma Maffei de Andrade, Giovana Frazon de Andrade, Edmarlon Girotto
Job satisfaction and absenteeism among Brazilian teachers
Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMT
distributed reasoning m2m leverages expressive power ontology enable semantic interoperability heterogeneous systems connected devices ontology however lacks builtin principled support effectively handle uncertainty inherent m2m application domains thus efficient reasoning achieved integrating inferential reasoning power probabilistic representations firstorder expressiveness ontology remains gap current probabilistic ontologies since stateoftheart provides compatible representation simultaneous handling discrete continuous quantities ontology requirement paramount especially smart homes continuous quantities cannot avoided simply mapping continuous information discrete states quantization cause great deal information loss paper propose hybrid probabilistic ontology simultaneously handle distributions discrete continuous quantities ontology call new framework hyprobontology specifies distributions properties classes serve templates instances classes inherit well overwrite aspects since cannot restriction dependency topology models hyprobontology induce across different domains achieve unified ground hybrid probabilistic model conditional gaussian fuzzification distributions continuous variables ontology results experiments unified model achieve exact inference better performance classical bayesian networks