| Issue |
EPJ Web Conf.
Volume 224, 2019
IV International Conference “Modeling of Nonlinear Processes and Systems” (MNPS-2019)
|
|
|---|---|---|
| Article Number | 06008 | |
| Number of page(s) | 5 | |
| Section | Mathematical Models in Economics, Social Sciences, Methodology and Management | |
| DOI | https://doi.org/10.1051/epjconf/201922406008 | |
| Published online | 09 December 2019 | |
https://doi.org/10.1051/epjconf/201922406008
Analytical Processing of Applied Tasks Conceptual Models at Design of Information-Active Systems
Department of information technologies and computing systems, Institute of information systems and technologies, Moscow State Technological University “STANKIN”, RU-127055, Moscow, Russia
* e-mail: olga.n10@yandex.ru
Published online: 9 December 2019
The article describes the concept of the methodology of intellectual labor automation, a formal description of the conceptual model (CM) at the object level, and also a description of the analytical processing of CM. The conceptual model is the basis for the design of the system. The conceptual model of an applied task reflects the semantics (the system of knowledge) of the subject field in the form of static and dynamic structures and their linkage. The elements of the static structure are subject categories defined by classes: cycle, process, task, component, object, feature, value. The dynamic structure reflects the system of subject dependences which describes the process of performing a subject task. The main stage of conceptual model analytical processing is the restructuring of the dynamic component. The method and technique of descriptions restructuring of subject dependences system at the level of features are developed. The method allows to provide reduction of time and spatial expenses on performance of process of the decision of the applied task in the computing environment at early stages of information-active systems design
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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