Um Framework conceitual para integrar conhecimento tácito científico

Abstract

During the development of OntoBio, a formal biodiversity ontology, it was observed that much of the knowledge of the expert, which was not included in the structured databases and allow ontology to be more expressive (tacit knowledge), was not represented, and thus ignored. Empirical evidences indicate that this knowledge is essential to help in generating knew scientific knowledge and consequently in the decision making process. In this highly connected environment, where data availability is massive, the use of ontologies is a recommended solution for allowing knowledge acquisition/generation. More specific issues such as representation of tacit scientific knowledge, are not satisfactorily elucidated. In order to contribute with solutions for such questions, it is necessary to investigate critical aspects of knowledge representation, modelling and formalization of tacit knowledge, and also to consider different views on the domain. This research proposes a method to agregate tacit knowledge to formal ontologies, incorporating semantic and expressivity to support generation of scientific knowledge. The method comprises the process of elicitation and formalization of scientific tacit knowledge of biodiversity, and the integration of this knowledge to the structure described in OntoBio.