|
Scientific Visualization
| Issue Year: | 2016 |
| Quarter: | 4 |
| Volume: | 8 |
| Number: | 5 |
| Pages: | 59 - 73 |
|
| Article Name: |
WAYS TO VISUALIZE THE QUALITY OF KNOWLEDGE BASE FOR ENTERPRISE AUTOMATION BY THE EXAMPLE OF SITUATIONAL INSTRUMENTAL EXPERT SYSTEM |
| Authors: |
A. Dzengelewski (Russian Federation) |
|
Article is submitted by National Research Nuclear University MEPhI (Moscow Engineering Physics Institute) |
| Address: |
A. Dzengelewski
Dzengelewski@gmail.com
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Russian Federation |
| Abstract: |
In this article possible indicators of quality of knowledge bases are examined. Among the indicators, usually used for databases, it is proposed to use additional indicators such as "connectivity". The automation of enterprises is considered in the capacity of a domain knowledge base. It is shown that for creation of a modern and efficient corporate information system (CIS), it is necessary to identify goals and automation areas properly and then to choose the required modules or automation system.
Ways of visualization of quality indicators (completeness, consistency, currentness and connectivity) of the knowledge base of situational instrumental expert system (SIES) are proposed. Indicators of quality of knowledge base are considered in general as well as for sections of the knowledge base SIES (situations). The described ways of visualization of quality of the knowledge base are based on nested circles that graphically reflect the quality of the knowledge base. In the paper graphic examples are given, colors are used for completeness and consistency, and relative sizes of nested circles are used to evaluate connectivity. An algorithm of geometric construction of nested circles centers is proposed.
The Zachman Framework was used for description of automation tools. In this case, the knowledge base SIES is expanded by models of goals, organizational structure, data, functions, networks and processes. The indicator of "completeness" of this knowledge base is expanded by evaluating the presence of models at different levels (contextual, conceptual, logical) stored in the knowledge base. Examples of visual representation of the knowledge base of SIES in the field of automation of enterprises using the indicators (completeness, consistency, currentness and connectivity) are shown. |
| Language: |
English |
|
|
|
