PROGRAMMATIC SYSTEM FOR INTERACTIVE REPRESENTATION OF SCIENTIFIC INSTITUTION RESULTS-Reference-Cited by-同舟云学术

PROGRAMMATIC SYSTEM FOR INTERACTIVE REPRESENTATION OF SCIENTIFIC INSTITUTION RESULTS

Published:2022 Issue:2(24) Volume: Page:91-99
ISSN:2786-4510
Container-title:Scientific Notes of Junior Academy of Sciences of Ukraine
language:
Short-container-title:

Author:

Prykhodniuk V. V.¹^ORCID,Nadutenko M. V.²^ORCID,Potapov H. M.³^ORCID

Affiliation:

1. PhD in Engineering, Head of Intellectual Network Tools Creation and Usage Department, NC “Junior Academy of Science of Ukraine”, Kyiv, Ukraine

2. PhD in Applied and Mathematical Linguistics, Head of Information Department, Ukrainian Lingua-Information Fund of NAS of Ukraine, Kyiv, Ukraine

3. PhD in Military Sciences, Leading Researcher of 52 Department, Central Research Institute of Armament and Military Equipment of the Armed Forces of Ukraine, Kyiv, Ukraine

Abstract

Our time is characterized by rapidly increased information quantity. The volumes of accumulated data become so large that the manual handling of this data by experts of certain subject areas becomes almost impossible. In such circumstances, it is extremely important to develop effective tools that could provide users the information, presented in the form of large arrays of spatially and thematically distributed information resources (documents). An example of an array of spatially and thematic distributed documents is the set of information that characterizes scientific achievements of the institutions of the National Academy of Sciences of Ukraine. Such information may be useful for a wide range of users, but can bring especially great benefits to young researchers — students, engaged in scientific and educational activities. The article proposes the approach to build the information and analytical system designed to provide the access to an array of information about the achievements of scientific institutions for young researchers. The system is characterized by flexible ontology driven architecture, which allows dynamical modifying of its composition and structure for the need of a particular user or project. The article describes the architecture of the ontology driven lexicographic system, based on which the system of interactive representation of achievements is constructed. In addition, the structure and interrelations of the software components that are part of the system are described. The software system is being developed within the framework of research “Interactive Base of Knowledge of Scientific Achievements of the Institutions of National Academy of Science of Ukraine” by the researchers of National Centre “Junior Academy of Sciences of Ukraine”.

Publisher

Junior Academy of Sciences of Ukraine

Reference12 articles.

1. Podlipayev, V. A., & Strizhak, A. E. (2018). Integratsiya informatsionnykh resursov razlichnoy prirody v setetsentricheskoy srede na osnove kategorii transdistsiplinarnosti [Integration of informational resources of different kinds based by category of transdisciplinarity]. Systemy Ozbroiennia i Viiskova Tekhnika — Weapon Systems and Military Equipment, 3 (55), 85–94. DOI: https://doi.org/10.30748/soivt.2018.55.12 [in Russian].

2. Stryzhak, O. Ye., & Kucherov, O. P. (2013). Formuvannia operatsiinoho seredovyshcha informatsiino-analitychnykh system na osnovi ontolohii [Creating operational environment of information-analytical systems based on ontologies]. Matematychne Modeliuvannia v Ekonomitsi — Mathematical modelling in economics, 3, 40–48 [in Ukrainian].

3. Rivera, A. C., Tapia-Leon, M., & Lujan-Mora, S. (2018). Recommendation Systems in Education: A Systematic Mapping Study. Proceedings of the International Conference on Information Technology & Systems (ICITS 2018). (pp. 937–947). Cham : Springer. DOI: https://doi.org/10.1007/978-3-319-73450-7_89

4. Ansari, M. H., Moradi, M., NikRah, O., & Kambakhsh, K. M. (2016). CodERS: A hybrid recommender system for an E-learning system. 2016 2nd International Conference of Signal Processing and Intelligent Systems (ICSPIS). (pp. 1–5). IEEE. DOI: https://doi.org/10.1109/ICSPIS.2016.7869884

5. Ragab, A. H. M., Mashat, A. F. S., & Khedra, A. M. (2012). HRSPCA: Hybrid recommender system for predicting college admission. 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA). (pp. 107–113). IEEE. DOI: https://doi.org/10.1109/ISDA.2012.6416521.