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Ontology driven certification of pressure equipments

By: Publication details: dic. 2008Description: 10 p. ; 313-322 In: Process safety progress 27Summary: Transcripción del resumen del autor. Standards and engineering codes rule design, construction and operation of chemical plant equipments to ensure reliability and safety. In this article, we exploit knowledge-based methodologies and technologies to guarantee safety rules compliance of pressure equipments. Specifically, we describe a knowledge-based tool defined on top of a knowledge-based computer-aided design system, which can serve inspection bodies, i.e., for certification purposes, and pressure equipment designers for the verification of the appropriate safety normative (i.e., the pressure equipment directive). The article focuses on the knowledge base of the tool, which has been formalized through the PED&I (Pressure Equipment Design and Inspection) ontology. The ontology has been enriched by logical axioms, which ensure the consistency of the knowledge base, and by reasoning rules, which enable to infer new relationships among the class instances stored in the ontology.
Item type: Artículo de Revista
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Biblioteca Alejandro Angel Bulgheroni Not for loan 200053668

Transcripción del resumen del autor. Standards and engineering codes rule design, construction and operation of chemical plant equipments to ensure reliability and safety. In this article, we exploit knowledge-based methodologies and technologies to guarantee safety rules compliance of pressure equipments. Specifically, we describe a knowledge-based tool defined on top of a knowledge-based computer-aided design system, which can serve inspection bodies, i.e., for certification purposes, and pressure equipment designers for the verification of the appropriate safety normative (i.e., the pressure equipment directive). The article focuses on the knowledge base of the tool, which has been formalized through the PED&I (Pressure Equipment Design and Inspection) ontology. The ontology has been enriched by logical axioms, which ensure the consistency of the knowledge base, and by reasoning rules, which enable to infer new relationships among the class instances stored in the ontology.

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