5 resultados para Share knowledge

em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"


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A body of knowledge in Software Engineering requires experiments replications. The knowledge generated by a study is registered in the so-called lab package, which, must be reviewed by an eventual research group with the intention to replicate it. However, researchers face difficulties reviewing the lab package, what leads to problems in share knowledge among research groups. Besides that, the lack of standardization is an obstacle to the integration of the knowledge from an isolated study in a common body of knowledge. In this sense, ontologies can be applied, since they can be seen as a standard that promotes the shared understanding of the experiment information structure. In this paper, we present a workflow to generate lab packages based on EXPEiiQntology, an ontology of controlled experiments domain. In addition, by means of lab packages instantiation, it is possible to evolve the ontology, in order to deal with new concepts that may appear in different lab packages. The iterative ontology evolution aims at achieve a standard that is able to accommodate different lab packages and, hence, facilitate to review and understand their content.

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The autonomy pedagogy allows the integration among theory, practice and reflection in the learning process. Applied to pharmaceutical care, the patient-centered process to achieve desired goals of therapy enables to build, rebuild and share knowledge and experiences with patients, in a critic and progressive way, inquiring and investigating. Therefore, it is possible to design a care plan according to patient experience, working together with the pharmaceutical care practitioner, to solve drugtherapy problems detected, with the patient as the center of the health care system. © 2012 Ediciones Mayo, S.A. Todos los derechos reservados.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Saúde Coletiva - FMB

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The development of an offshore field demands knowledge of many experts to choose the different components of an offshore production system. All the specialized parts of this knowledge are intrinsically related. The aim of this paper is to use Fuzzy Sets and knowledge-based systems to describe and formalize the phases of development of an offshore production system project, in order to share and to manage the required knowledge for carrying out a project, while at the same time proposing alternatives for the oil field configuration.