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Ontology-Driven System for Monitoring Global Processes on Basis of Internet News
P. 385–389.
Abstract — An approach to development of ontology-driven system for monitoring global processes is presented. Ontology-driven architecture (ODA) intends using a few ontology types for different purposes. Ontologies are used to search Internet news with information retrieval tools. The domain ontology describes research interests of the experts needing analysis of world events and creation of global processes models including events of specified types. The sources ontology defines information sources (news feeds for example) used by experts for analysis. Also, domain ontologies are used to clarify results at facts extracting for forming event logs and to cluster objects in logs. Event logs formats are described with logs ontology. It allows storing logs instances with different settings too. Analysts can use these logs to compare results of global processes monitoring during time periods given by experts. Global process models are constructed with process mining tools on the basis of event logs. An advanced multilevel ontology is the kernel of system. The general system architecture and ontology representation are described. Some examples are included in the paper.
In book
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Kychkin A., Chernitsin I., Прикладная информатика 2026 № 1(121) С. 40–58
The results of the development of a software microservice embedded in atmospheric air quality monitoring systems to support the identification of industrial pollution sources are presented. The emission and subsequent spread of harmful substances in the lower layers of the atmosphere is dynamic and characterized by high uncertainty due to the specific features of technological ...
Added: April 23, 2026
Kychkin A., Chernitsin I., Vikentyeva O., , in: 2025 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM).: IEEE, 2025. P. 987–991.
Industry 4.0 concept focuses on sustainability problem that requires to control air emissions, especially for harmful substances like H2S, and reduction their impact on nature by using environmental monitoring and sources identification systems. This task requires solving inverse problem of dispersion models, which should establish complex mathematical dependences between the sensor data, the location and ...
Added: November 4, 2025
Kychkin A., Chernitsin I., Vikentyeva O., , in: 2025 International Russian Automation Conference (RusAutoCon).: IEEE, 2025. P. 1046–1050.
This paper presents system architecture of the automated AI-driven predictive assessment of the ecological state of the air in sanitary protection zones around industrial facilities. The developed solution implements automated pre-processing of data presented in the form of time series using machine learning methods and the construction of short-term forecasts of pollutant concentrations for the ...
Added: October 6, 2025
Nikolaev A., Vöth S., Aleksei V. Kychkin, Journal of Mining Institute 2024 No. 261 P. 403–414
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Added: November 1, 2024
Lyadova L. N., Платунов А. И., Информатизация и связь 2024 № 1 С. 84–89
Summary. The goal of the project is developing tools for generating and preprocessing event logs for process analysis using Process Mining methods. The implementation approach is based on low-code principles. Users should be able to develop their own rules for generating and processing event logs, including additional attributes, – event series. It is based on ...
Added: January 19, 2024
Платунов А. И., Lyadova L. N., В кн.: ТЕХНОЛОГИИ РАЗРАБОТКИ ИНСТРУМЕНТАЛЬНЫХ СРЕДСТВ (ТРИС-2023): материалы конференции.: Таганрог: Издательство ЮФУ, 2023. С. 113–122.
The goal of the project is to develop tools for generating and processing event logs including additional attributes for analyzing processes with Process Mining tools. Implementation are based on low-code principles. This enables non-programmers to develop their own data processing rules for generating and preprocessing event logs with additional attributes. The core of the system ...
Added: December 16, 2023
Anton Platunov, Lyudmila Lyadova, Matta N. et al., , in: IC3K 2023: Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. Volume 2: KEOD, Rome - Italy, November 13 - 15, 2023Vol. 2: KEOD.: Lisbon: SciTePress, 2023. P. 323–330.
Existing process mining methods allow to investigate processes in different domains. Besides mandatory event attributes like as identifier, activity, and timestamp, additional event attributes can be present in data sources. The analysing dynamics of changing the values of additional attributes allows to get important information on the system. The applications must be developed by programmers ...
Added: November 22, 2023
A. A. Sherstyugina, R. A. Nesterov, Proceedings of the Institute for System Programming of the RAS 2023 Vol. 35 No. 3 P. 11–32
The structure of a process model directly discovered from an event log of a multi-agent system often does not reflect the behavior of individual agents and their interactions. We suggest analyzing the relations between events in an event log to localize actions executed by different agents and involved in their asynchronous interaction. Then, a process ...
Added: October 31, 2023
Degterev D. A., Сравнительная политика 2021 Т. 12 № 4 С. 82–97
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Added: September 8, 2023
Chistikov M., Шуранова А. А., Государственное управление. Электронный вестник 2022 № 95 С. 175–191
The issues related to the impact of international regimes on the development of interstate relations remain underexplored in the international relations theory. Despite the existence of theoretical works dedicated to the form and substance of this impact, the problem of its extent remains to be researched. The case of ocean governance regime in the Barents ...
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Zayakin Viktor, Lyadova Lyudmila, Smirnov M. et al., , in: 2022 IEEE 16th International Conference on Application of Information and Communication Technologies (AICT).: Washington: IEEE, 2022. P. 1–6.
The article presents an approach to the analyzing processes in different domains using data from various Internet sources (open databases, news feeds, social networks, etc.). This one is suitable to carry out cross-disciplinary research encompassing processes in various fields (for example, economics, medicine, politics, ecology, etc.) in which events can have mutual affects. The concept ...
Added: October 29, 2022
Shaimov N., Lomazova I. A., Mitsyuk A. A. et al., Моделирование и анализ информационных систем 2022 Т. 29 № 4 С. 286–314
Modern educational process involves the use of electronic educational environments. These are special information systems that are both a means for storing educational materials and a tool for conducting tests, collecting homework, keeping a grade book, and working together. Such environments produce a large amount of data containing the recorded behavior of students and teachers ...
Added: October 14, 2022
А. В. Кычкин, О. В. Горшков, М. А. Кукаркин, Прикладная информатика 2022 Т. 17 № 4 С. 5–16
The research focuses on the development of applied software systems for automated environmental monitoring. The task of developing and integrating applied software, in particular calculation and analytical models based on machine learning (ML) methods, with an IoT platform of digital eco-monitoring for industrial enterprises is considered. Such a platform is used to create software and ...
Added: August 26, 2022
Kychkin A., Oleg Gorshkov, Mikhail Kukarkin, , in: 2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM).: Sochi: IEEE, 2022. P. 1045–1050.
With the development of Industry 4.0, it is necessary to search and develop IoT platforms for monitoring, control, and management of industrial enterprises' impact on atmospheric air. The proposed platform can be used to create unified integrated solutions for pollution monitoring, online analysis of statistics and forecasting the dynamics of atmospheric air pollution, as well ...
Added: August 6, 2022
Dudyrev F., Neznanov A., Anisimova K., , in: Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium -23rd International Conference, AIED 2022, Durham, UK, July 27–31, 2022, Proceedings, Part II.: Springer, 2022. P. 436–439.
Added: July 28, 2022
Nesterov R., Bernardinello L., Lomazova I. A. et al., Software and Systems Modeling 2023 Vol. 22 P. 351–375
A process model discovered from an event log of a multi-agent system often does not fully cover certain viewpoints of its architecture. We consider those concerned with the structure of a model explicitly reflecting agent behavior and interactions. The direct discovery from an event log of a multi-agent system may result in an unclear model ...
Added: May 5, 2022
Ochara N. M., Nawa E. T., Fiodorov I. et al., , in: 2018 OPEN INNOVATIONS CONFERENCE.: Johannesburg: IEEE, 2018. Ch. 51 P. 325–331.
Process modeling as one of the critical Business Process Management (BPM) disciplines is recognized as a key anchor to digital transformation (DT) efforts currently underway in most enterprises. While enterprises are ransforming digitally, the practice of process modeling is also changing with little guidance on key considerations for realizing success process modeling. The focus of the paper was to ...
Added: November 27, 2021
Vöth S., Nikolaev A., Kychkin A., , in: 2021 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM).: IEEE, 2021. P. 63–67.
Currently, there is a trend for companies to participate in Demand Response (DR) market, which requires them to reduce energy consumption during peak hours. Underground mining enterprises (UEM) are energy-intensive and for them participation in such programs is especially relevant. The main consumer of electricity at UEM is the ventilation system, mainly the main fan ...
Added: November 3, 2021
Viacheslav Lanin, Lyudmila Lyadova, Elena Zamyatina et al., , in: Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge ManagementVol. 2: KEOD.: Lisbon: SciTePress, 2021. P. 234–239.
Added: October 2, 2021
Lyadova L. N., Заякин В. С., Смирнов М. А., В кн.: Технологии разработки информационных систем (ТРИС-2020): материалы X Международной научно-технической конференции.: Таганрог: Южный федеральный университет, 2020. С. 297–303.
The purpose of the study is to define the event series concept and develop an approach to the event series formation based on data extracted from various Internet-sources (news feeds, social networks, mass media and databases) using multifaceted ontologies describing both data sources and the structure of information extracted from them. Event series are defined ...
Added: January 20, 2021