Now showing 1 - 3 of 3
  • Publication
    Contexts as explicit parameterization of ontology driven methods
    (Consiglio Nazionale delle Ricerche. Istituto di Matematica Applicata e Tecnologie Informatiche, 2007) ; ; ; ;
    In the recent Computer Science literature, contexts have been proposed mainly to formalize context dependent background knowledge. In this paper we discuss the importance of the application of contexts as explicit parametrization of methods exploiting the knowledge encoded in ontologies. We propose a context formalization suitable to improve the flexibility of ontology driven methods like semantic similarity and granularity. Herein, we detail in particular the context parametrization for semantic granularity. The user scenario pertaining to the exploitation of a repository for industrial design product models is discussed to illustrate the proposed formalization.
      156
  • Publication
    Context enabled semantic granularity
    In this paper we propose a powerful ontology driven method that eases the browsing of any repository of information resources described by an ontology: we provide a flexible semantic granularity method for the navigation of a repository according to different levels of abstraction, i.e. granularities. The granularity is explicitly parameterised according to the criteria induced by the context.
      334ScopusĀ© Citations 3
  • Publication
    Ontology driven certification of pressure equipments
    Standards and engineering codes rule design, construction and operation of chemical plant equipments to ensure reliability and safety. In this paper, 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 CAD 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 paper 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.
      879ScopusĀ© Citations 8