Industrial application of semantic process mining

被引:34
|
作者
Ingvaldsen, Jon Espen [1 ]
Gulla, Jon Atle [1 ]
机构
[1] Norwegian Univ Sci & Technol, Dept Comp & Informat Sci, N-7034 Trondheim, Norway
关键词
process mining; business process intelligence; process models; business process management; data mining; process analysis; semantics; ontologies;
D O I
10.1080/17517575.2011.593103
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Process mining relates to the extraction of non-trivial and useful information from information system event logs. It is a new research discipline that has evolved significantly since the early work on idealistic process logs. Over the last years, process mining prototypes have incorporated elements from semantics and data mining and targeted visualisation techniques that are more user-friendly to business experts and process owners. In this article, we present a framework for evaluating different aspects of enterprise process flows and address practical challenges of state-of-the-art industrial process mining. We also explore the inherent strengths of the technology for more efficient process optimisation.
引用
收藏
页码:139 / 163
页数:25
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