A model of business process support system for e-government

Author(s):  
T. Podgayetskaya ◽  
W. Stucky
2021 ◽  
Vol 11 (1) ◽  
pp. 126-136
Author(s):  
V.V. Antonov ◽  
◽  
K.A. Konev

The article discusses a decision support method using a knowledge base. The relevance of the study of issues related to decision-making in typical situations is shown. In order to increase the effectiveness of management activities, the is-sues of system integration of the regulatory framework, ontological model and knowledge base of the intelligent sub-system of decision support within the framework of the business process are considered. In support of the proposed method, a model has been formed for replenishing the knowledge base both at the structural and analytical levels, which demonstrates the connection between the most important elements of the system: the ontological model, the knowledge base and the normative subsystem. An example of using the proposed scheme is shown. To demonstrate the model of functioning of the decision support system, an algorithm for replenishing the knowledge base is proposed and described. As a conceptual basis for the formal description of the model, operations for working with knowledge are described in the set-theoretic aspect. The principles of adaptation of the ontological model as an information object for linking with the knowledge base are considered. The conceptual diagram of the general structure of the ontological model for making decisions within the framework of the business process as a set of interrelated concepts is proposed and demonstrated. An information model of a specialized database has been developed and presented, serving as a technical basis for building a knowledge base of a decision support system in a typical situation, its main structural el-ements, the principles of their interrelation and an approach to ensuring the consistency of its internal structure are de-scribed.


Author(s):  
Gayathri Nadarajan ◽  
Areti Manataki ◽  
Yun-Heh Chen-Burger

The infrastructure of Grid is approaching maturity and can be used to enable the utilisation and sharing of large scale, remote data storages through distributed computational capabilities and support collaborations and co-operations between different organisations. Grid can therefore be suitably used to support the creation and running of a virtual organisation (VO). However, to assist the smooth operation of VOs, robust computational and storage facilities alone are not sufficient. There must also exist appropriate rich business infrastructure. In this chapter, the authors consider business process frameworks that utilise semantics-based business process modelling (BPM) technologies, and they illustrate the multidisciplinary nature of our approach by applying them to three different fields: Supply Chain Management, Business Intelligence and Knowledge Management, and Intelligent Video Analysis. They aim to show that these three application areas that incorporate semantics-based BPM methods could be used to support developing Grid applications, and to subsequently support VOs.


2014 ◽  
Vol 611 ◽  
pp. 416-423
Author(s):  
Cyril Klimeš ◽  
Radim Farana

Decision support systems mean interactive computer systems, which assist to decision making subjects to utilize both data and models to solve non-structured issues. These systems were established mainly on the basis of a risk analysis, utilizing the experience/skills, conclusion making and intuition, enabling very fast and flexible analysis with a good response, enabling the application of manager intuition and judgment this way. However, such decisions are often based on uncertain information. This fact requires the establishment of other decision support models.


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