Intelligent support of decision making of knowledge management for learning and scientific research based on the collaborative creation and reuse of the domain information space and ontology knowledge representation model

The project is aimed at solving the fundamental scientific problem of organizing intellectual support of decision making for knowledge management in the educational process and in the framework of scientific research based on modern technologies of artificial intelligence.

As part of the learning process, this problem is relevant because of:

- the large amount of accumulated electronic learning resources that meet the requirements of the educational process and the individual requirements of various students;

- the complexity of creating educational content;

- the possibility of using such resources in an adaptive learning process, taking into account the general and individual requirements for such content and educational purposes.

The problems of constructing a model of the domain structure, retrieval and integration of distributed open scientific information resources into thematic collections, creating information spaces including such resources with the possibility of joint access and development are also relevant in scientific research.

Existing approaches are limited to the search for educational content, do not take into account individual requirements, do not allow managing the learning process on a variety of learning resources and do not allow creating smart learning content based on the integration of learning resources in accordance with general and individual requirements. In support of research processes, existing approaches are limited to the implementation of tools for joint editing of scientific articles with subsequent publication in the public domain, the means of creating repositories of abstracts of scientific articles, as well as modeling tools for subject areas without taking into account the specific nature of research processes.

Within the framework of the proposed research, it is proposed to develop a new concept of creating an information space of a subject domain on the basis of the cognitive space of information process subjects using ontological models of knowledge representation and algorithms based on logical inference on ontology to support the decision making for the knowledge management in this space.

As a result of the project, it is planned to implement the proposed concept in the form of a methodology for intellectual support of decision making for knowledge management in the educational process in this subject area and scientific research with the support of personalization, collective creation and reuse of information space objects.

Direct analogs of the proposed approach to intellectual support of decision making for knowledge management in the educational process and scientific research does not exist.

Papers

2019 (3)
  • Anton Anikin, Dmitry Litovkin, Elena Sarkisova, Tatyana Petrova, Marina Kultsova (mar 2019) Ontology-based approach to decision-making support of conceptual domain models creating and using in learning and scientific research. IOP Conference Series: Materials Science and Engineering 483 pp. 012074. IOP Publishing. doi web bibtex
    • Abstract
  • A Anikin, A Katyshev, M Denisov, V Smirnov, D Litovkin (mar 2019) Using online update of distributional semantics models for decision-making support for concepts extraction in the domain ontology learning task. IOP Conference Series: Materials Science and Engineering 483 pp. 012073. IOP Publishing. doi web bibtex
    • Abstract
  • Anton Anikin, Oleg Sychev, Vladislav Gurtovoy (2019) Multi-level Modeling of Structural Elements of Natural Language Texts and Its Applications. In Biologically Inspired Cognitive Architectures 2018. pp. 1–8. Springer International Publishing. Cham. bibtex
    • Abstract
2018 (5)
  • D. Litovkin, A. Anikin, M. Kultsova, E. Sarkisova (July 2018) Representation of WHAT-Knowledge Structures as Ontology Design Patterns. In 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA). pp. 1-6. doi bibtex
  • M. Kultsova, D. Matyushechkin, A. Anikin (July 2018) Web-Service for Translation of Pictogram Messages into Russian Coherent Text. In 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA). pp. 1-5. doi bibtex
  • M. Kultsova, A. Usov, A. Potseluico, A. Anikin (July 2018) An Ontological Representation of Interface Patterns in Context of Interface Adaptation for Users with Special Needs. In 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA). pp. 1-5. doi bibtex
  • Anton Anikin, Oleg Sychev (2018) Semantic treebanks and their uses for multi-level modelling of natural-language texts. Procedia Computer Science 145 pp. 64 - 71. doi web bibtex
  • Dmitrii Matyushechkin, Marina Kultsova, Anton Anikin (2018) Web-service for Translation Pictogrammes Sages into Coherent Text in Russian. Известия Волгоградского государственного технического университета 215 (5) pp. 30 - 36. web bibtex
    • Abstract