Intelligent information systems for solving ill-structured problems, processing knowledge and big data
| Programmee: | State Programs and Grants |
| Code: | 20.80009.5007.22 |
| Execution period: | 2020 – 2023 |
| Institutions: | Vladimir Andrunachievici Institute of Mathematics and Computer Science |
| Project Leader: | Gaindric Constantin |
| Participants: | Information Systems, Programming Systems "Iurie Rogojin" |
| Scientific report: | Raport științific 2020 Raport științific 2021 Raport științific 2022 Raport științific 2023 Raport științific final 2020 - 2023 |
Summary
The massive use of information and communication technologies revolutionizes the development of modern society, consistently contributes to the implementation of the digital society concept. European Digital Agenda proposes the dynamization and optimization of the benefits of information technologies for economic growth, new jobs creation, the improvement of the citizens’ quality of life as a part of the Europe 2020 Strategy. The initiative ‘A Stronger Digital Europe towards 2025’, which brings together about 70 of the strongest European and transnational companies, states in its manifest that digital technologies, innovations and artificial intelligence will create a strong digital Europe, unfragmented, which will lead to the digital inclusion development, increasing the use of ‘green’ resources, innovations, the development of agile policies, which will ensure prosperity of the European society and will place Europe as a leader in the global economy. The project topic, concerning research in the field of intelligent information systems with applications in three social domains: medicine, education and culture, fits perfectly into this context. In relation to these domains, the project proposes research and development of information systems aimed at solving scientific and social problems that are, as a rule, ill-structured, operate with large volume of data, depend greatly on the decision maker's vision and need a personalized approach. This approach involves completion of certain stages of knowledge processing: examination, experiment, conceptualization and analysis, that will serve as a basis for computer science applications in the domains of preservation of cultural heritage, support in medical diagnostics, mitigation management of disasters with multiple victims, automation of the process of design and generation of digital content for computer-assisted learning (e-learning).
The proposed solutions will take into account the fragmented and heterogeneous nature of information, data and knowledge in order to define some standardized structures, which will facilitate interoperability and efficient incorporation into the information systems. Regarding the digitization of cultural heritage, the emphasis will be placed on Romanian works printed in the Cyrillic script, covering the period of 17-20 centuries, and having as a result both the printed format with original characters and the transliterated one in the Latin script, adapted to the modern language. For the first time there is addressed the problem of integrated processing of different types of content (text, graphics, formulas, musical notes, etc.). An universal platform, which prototype is foreseen to be developed in the project, will represent a tool for a wide circle of users, offering them assistance at the stages of preprocessing, recognition, alignment and post-processing of heterogeneous prints. For processing large volume of data, the methods based on formal computational models will be used to ensure parallel processing (including membrane computing and P systems, Petri nets, etc.). Following the purpose of making information processing more efficient, the problems of design and implementation of distributed computing systems will be solved as well, the solutions aimed to improve the functioning of the systems from the point of view of adapting and adjusting the execution environments, taking into account the specific requirements of the various application classes, will be proposed and analysed.
