Towards Automating Design and Development of Inference Enterprise Models

被引:1
作者
Lee, James D. [1 ]
Matsumoto, Shou [1 ]
Zaidi, Abbas K. [1 ]
Laskey, Kathryn B. [1 ]
机构
[1] George Mason Univ, Dept Syst Engn & Operat Res, Fairfax, VA 22030 USA
来源
2019 13TH ANNUAL IEEE INTERNATIONAL SYSTEMS CONFERENCE (SYSCON) | 2019年
关键词
Inference Enterprise Modeling; Ontology; Template; Business Process Improvement; Knowledge Reuse;
D O I
10.1109/syscon.2019.8836882
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, a process improvement approach, which provides automated assistance in designing and developing Inference Enterprise Models (IEM), is described. An IEM forecasts and evaluates the performance of the modeled enterprise and can be used to improve the operational quality of an enterprise making mission-focused inferences. As part of developing the IEM methodology, a team of researchers built several Inference Enterprise Models and acquired a breadth of knowledge in the domain of modeling insider threat detection systems. Although there are many different ways this type of inference enterprise can be modeled, there are common elements that are reused from case to case. We propose a solution for formalizing and reusing this IEM domain knowledge by developing an IEM Process Ontology and Workflow Generator.
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页数:6
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