Project “Methodology and technology for developing digital knowledge maps for education and research teams (METAKARTA)”.
The METAKARTA project is focused on solving the current problem of extracting, structuring and formalizing the knowledge of members of research teams to improve the quality of scientific communications, information exchange and positioning in the market of intellectual services. The development of methodology and technology for digital knowledge mapping also makes it possible to transform “tacit” knowledge into explicit knowledge for more effective management of the intellectual capital of universities and scientific institutes.
Visualization of corporate knowledge in enterprises and organizations creates the potential to improve the quality of information support and management efficiency in conditions of significant information overload. The novelty of the project is determined both by the interdisciplinary nature of the task, and by the broad coverage of the tasks set and completed.
Ontologies as conceptual models of a subject area are one of the most promising approaches to the development of knowledge bases and knowledge graphs. Ontologies in the project serve as a system-forming theoretical and methodological framework for knowledge maps.
Knowledge maps are diagrams that reflect the main intellectual resources, their content, location and owners. They combine the so-called WHAT-, HOW-, WHO- and WHERE-knowledge.
The project consists of two stages:
Analysis of modern research in the field of development and support of knowledge maps of ontological type and development of the fundamentals of a methodology for integrating structured data from heterogeneous sources into knowledge maps of various scientific and educational teams.
Creation of a technology for generating digital knowledge maps of members of scientific teams, taking into account their scientific, consulting and educational activities. Development of a prototype knowledge map that supports/implements this technology and testing of the developed methodology and technology using the example of a university faculty knowledge base.
In 2024, the second stage of the project was implemented and the following results were obtained.
A. A practical method of designing object and role ontologies has been created and tested.
B. An algorithm for the formation of basic questionnaires for universities based on subject ontologies is proposed.
C. Adjustments to approaches to data collection and to the aggregation of response data on the assessment of areas of expertise have been made, as well as recommendations have been formulated for the digitization of responses to self-assessment of experience and rating in teaching, research and applied activities.
D. Recommendations for the organization and management of knowledge centers have been developed.
E. A prototype of the first atlas of knowledge maps for educational and scientific organizations (including maps of educational, scientific and consulting activities) was formed, including the expansion of the basic set proposed at the first stage.
F. Approbation of the results at scientific international and national conferences, as well as publication of 2 articles in journals from the list of the Higher Attestation Commission.
In addition, an approach to the construction of scientometric diagrams was developed.
The work plan for the second stage of 2024 has been fully implemented, which is reflected in 10 prepared publications, 8 have already been published, of which 2 articles are in the journals of the Higher Attestation Commission, 4 are in English in the proceedings of international conferences. 2 publications have been accepted and are in print.
A total of 20 publications were prepared as a result of the METACARTA project.
The obtained results of the study correspond to the international level of research in this field of knowledge, which is confirmed by publications and discussion of the intermediate results of the project at international and all-Russian conferences.
Tatiana A. Gavrilova
Head of the Project, Professor, Department of Information Technologies in Management, Head, Department of Information Technologies in Management
Olga N. Alkanova
Researcher, Senior Lecturer, Marketing Department, Chairman, Assurance of Learning Committee, Head, Teaching Excellence Lab in Business Education
Elvira Y. Grinberg
Researcher, Assistant, Institute of Computer Science and Technology, Peter the Great Polytechnic University
Miroslav V. Kubelsky
Researcher, Datafabrik LLC, Leading Analyst
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