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Volume 134 (2016)

CONTENTS

No. 134, 2016, 3–10

Ontology-driven diagnostic modeling
Wojciech Cholewa

Abstract

The paper presents a concept of diagnostic network models. This class of models consists of statement networks in which nodes represent statements concerning an object. The advantages of such models were enumerated and, in particular, their usefulness in collaborative research on knowledge acquisition was emphasized. Furthermore, not only the significance of dictionaries of statements contents, but also the purposefulness of supporting the development process of the models in question through definition of ontology referring to the studied objects was discussed.

Keywords:

Statement network, Knowledge representation

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