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Application of Classification to Determine the Level of Awareness of the Foresight Process

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System Analysis in Engineering and Control (SAEC 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 442))

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Abstract

The article is analyzed the modern process of foresight based on textual analytics to identify typical concepts, associations, and relationships to a large-scale phenomenon or problem from a non-monotonically increasing text array. Another case is a typical research task of changes in the functioning or structure of a complex object/system under foresight research. In the process of analysis of the studied object, subject or system is mirrored in the form of specific metadata recorded in a given period. The classifier has a simple appearance, which allows the expert to easily navigate the identified classes on one side, and is marked by different classes of the input body of weakly formalized data from the other. However, together, several classifiers and classifying ontologies can form a more powerful structure of knowledge navigation in the form of a faceted classifier. The analysis of the specifications of the foresight process methods made it possible to separate the entities that these methods operate on. These entities represent the metadata of the foresight process methods as classifiers that have been compiled/created to describe mentioned metadata. The final structure of the metadata classes was proposed depending on the industry or subject domain. To track the foresight process, to analyze the dynamics of quantitative and qualitative characteristics of knowledge acquisition, the following indicators of awareness are introduced: regarding the structure of acquired knowledge, regarding the media of the collected information, and Metadata awareness indicators. The practical calculation of awareness indicators was done.

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Acknowledgement

This material is based upon work supported in part by the National Research Foundation of Ukraine under Grant 2020.01/0247.

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Authors and Affiliations

  1. Institute for Applied System Analysis, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Peremohy av. 37, Kiev, 03057, Ukraine

    Nataliya Pankratova & Volodymyr Savastiyanov

Authors
  1. Nataliya Pankratova
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  2. Volodymyr Savastiyanov
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Corresponding author

Correspondence to Nataliya Pankratova .

Editor information

Editors and Affiliations

  1. Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

    Yuriy S. Vasiliev

  2. Institute for Applied System Analysis, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kiev, Ukraine

    Nataliya D. Pankratova

  3. Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

    Violetta N. Volkova

  4. Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

    Olga D. Shipunova

  5. Internationale Akademie für Management und Technologie (INTAMT) e.V., Düsseldorf, Germany

    Nikolay N. Lyabakh

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Pankratova, N., Savastiyanov, V. (2022). Application of Classification to Determine the Level of Awareness of the Foresight Process. In: Vasiliev, Y.S., Pankratova, N.D., Volkova, V.N., Shipunova, O.D., Lyabakh, N.N. (eds) System Analysis in Engineering and Control. SAEC 2021. Lecture Notes in Networks and Systems, vol 442. Springer, Cham. https://doi.org/10.1007/978-3-030-98832-6_7

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