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Background. The idea to automate the process of scientific and educational institutions evaluation is relevant. Such automation requires information about this institutions functioning to be structured and systematized. The study proposes to use the ontology as one of the models of knowledge representation to organize information of scientific institutions for its structuring and systematization, as well as for its further processing and usage.Objective. The aim of the paper is to develop the approach to ontological model development for the representation of information accumulated by various scientific and educational institutions and organizations.Methods. Method of ontological modeling was used as modern means of artifitual inteligence to structure, systematize and analize the information of scientific and educational institutions.Results. As the result of the research the ontology of scientific institutions information was developed using TEDAOS software platform. Ontology was filled with data. At the moment ontology model includes 895 objects and 2837 data elements (attributes).Conclusions. The ontological representation allows to evaluate the quality of scientific institutions functioning on the basis of national principles for such assessment. The information how to organize the evaluation process as well as generally accepted evaluation criteria are also stored in the ontological model.

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