Saturday , December 15 2018

Semantics and Knowledge-based System for Occupational Health Safety

Alexandra GĂLĂTESCU1, Adriana ALEXANDRU1, Corneliu ZAHARIA2, Andrei POPOVICI2 
1 I C I Bucharest
(National Institute for R & D in Informatics)

8-10 Averescu Blvd.
011455 Bucharest 1, Romania
agal@ici.ro, adriana@ici.ro
2 Ştefan Nicolau Institute of Virology
285 Mihai Bravu Avenue, 030304, Bucharest, Romania
corneliu.zaharia@virology.ro, andrei_popovici@hotmail.com

Abstract: The paper presents the conceptual framework, the basic inference and some implementation results in a system (under development) for the online training on the potential risks and events that can occur during the execution of certain activities. This system is an application of ontologies in the occupational health domain. The training (in a requested context and complying with domain-specific rules) results from the automatic and semantics-based discovery of the prevention documents, actions, methods etc that fit the user’s request.

Keywords: Occupational health; risk prevention; formal ontologies; ontology-based modeling; e-Training.

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CITE THIS PAPER AS:
Alexandra GĂLĂTESCU, Adriana ALEXANDRU, Corneliu ZAHARIA, Andrei POPOVICI, Semantics and Knowledge-based System for Occupational Health Safety, Studies in Informatics and Control, ISSN 1220-1766, vol. 20 (2), pp. 107-120, 2011.