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International Conference on Computer Recognition Systems

International Conference on Image Processing and Communications

International Multi-Conference on Advanced Computer Systems

CORES 2021, IP&C 2021, ACS 2021: Progress in Image Processing, Pattern Recognition and Communication Systems pp 318–329Cite as

Ontology-Driven Approach to Research and Educational Organization Information Representation

Part of the Lecture Notes in Networks and Systems book series (LNNS,volume 255)

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”.

Keywords

  • Research and educational organization
  • Quality
  • Assessment
  • Activity
  • Parameters
  • Information
  • Ontology

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Affiliations

  1. Institute of Telecommunication Systems of National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine

    Larysa Globa & Bohdan Zadoienko

  2. National Center “Junior Academy of Sciences of Ukraine”, 38-44 Dehtyarivska str., Kyiv, Ukraine

    Rina Novogrudska & Maryna Popova

  3. Information research institute of Shandong academy of science, Shandong, China

    Yu Junfeng

Authors
  1. Larysa Globa
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  2. Rina Novogrudska
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  3. Maryna Popova
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  4. Bohdan Zadoienko
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  5. Yu Junfeng
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Corresponding author

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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