Process Mining for Semantic Business Process Modeling

被引：5
|
作者：
Lautenbacher, Florian [1 ]
Bauer, Bernhard [1 ]
Foerg, Sebastian [1 ]
机构：
[1] Univ Augsburg, Programming Distributed Syst Lab, Augsburg, Germany
来源：
2009 13TH ENTERPRISE DISTRIBUTED OBJECT COMPUTING CONFERENCE WORKSHOPS (EDOCW 2009) | 2009年
关键词：
Process Mining; SBPM; Process Models; ONTOLOGY;
D O I：
10.1109/EDOCW.2009.5332017
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Business processes are captured by models that serve as a basis for communication and training purposes, but this modeling is still a time consuming manual job. Semantic annotation of process models in combination with AI planning approaches can contribute to solve this drawback enabling an automatic creation of process models. But the semantic annotated process fragments necessary for starting the planning are often missing at all or not up-to-date anymore. Therefore, this work describes an approach for the semantic annotation and semantic-based planning of process models and introduces Cystid, an integration of Process Mining algorithms and semantic-based planning.
引用
收藏
页码：45 / 53
页数：9
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