A5008287751- Information Systems and Technology Applications
- Semantic Web and Ontologies
- Statistical and Computational Modeling
- Economic and Technological Systems Analysis
- Advanced Computational Techniques and Applications
- Scheduling and Timetabling Solutions
- Engineering and Environmental Studies
- Advanced Research in Systems and Signal Processing
- Engineering Education and Technology
- Enterprise Management and Information Systems
- Cognitive Computing and Networks
- Scientific Research and Philosophical Inquiry
D. Serikbayev East Kazakhstan State Technical University
2018-2023
Monitoring of distributed objects allows a continuous process surveillance and data collection, registration, storage analysis key performance indicators the object to make judgment about behavior in whole comparing with set criteria. This paper describes software for monitoring based on multi-level multi-dimensional model. The developed system different points view, criteria management objectives which will improve efficiency educational institution.
Higher education institutions are becoming increasingly complex and self-developing systems. Monitoring the activities of such systems requires a special approach includes three main elements, that is, external monitoring, independent evaluation internal monitoring. In framework this article, task monitoring is analysis disclosure patterns, causes trends development processes university. these conditions, need to move broader model for solving reducing complexity based on information...
Evaluation of the performance university staff can be carried out with different goals, consistent strategic goals institution. To provide an appropriate data set, structure must provided that ensures neither incomplete nor reliable will used. such a best possible features from various available sources should integrated. The article provides overview existing integration problems and approaches to solving this problem.
An ontology is a link between objects of knowledge and connecting bridge various steps Knowledge Processes. Ontology development an important aspect management solution support (KM-solutions). In this paper, we consider university scientific ontological model which one the systems tools. The main functions are given. classes, properties relations for maintaining base educational resources described.
Due to the improvement of university management system based on computer and information systems, issue class scheduling automation has become increasingly relevant. The solution problems compiling various types schedules belongs a special field applied mathematics - theory schedules. However, this problem heavily depends specifics particular university. This means that requires development "flexible" methods algorithms should more or less take into account each article provides an overview...
The article provides a brief description of the stages building an ontological model subject area. results university knowledge, namely scientific which allows integrating data on activity from scientometric databases, are presented. proposed is built by reengineering SWRC and BiDO model.