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Ontology-Driven Approach to Research and Educational Organization Information Representation

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Progress in Image Processing, Pattern Recognition and Communication Systems (CORES 2021, IP&C 2021, ACS 2021)

Abstract

The paper presents an approach to the representation of various types of information that is accumulated at the level of different scientific and educational organizations with the purpose of further assessment of the quality of their functioning. This approach is based on ontological modelling. Ontology allows structuring and organizing scientific and educational organizations information aiming its representation and analyses. General ontology of scientific and educational organizations information is divided into several ontologies in order to represent all aspects and important indicators of organizations performance. Ontological system elements are described. Practical implementation of proposed ontology and its filling with information was performed using cognitive IT-platform “POLYHEDRON”.

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Correspondence to Larysa Globa .

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Globa, L., Novogrudska, R., Popova, M., Zadoienko, B., Junfeng, Y. (2022). Ontology-Driven Approach to Research and Educational Organization Information Representation. In: Choraś, M., Choraś, R.S., Kurzyński, M., Trajdos, P., Pejaś, J., Hyla, T. (eds) Progress in Image Processing, Pattern Recognition and Communication Systems. CORES IP&C ACS 2021 2021 2021. Lecture Notes in Networks and Systems, vol 255. Springer, Cham. https://doi.org/10.1007/978-3-030-81523-3_31

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