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Aligning Textual and Graphical Descriptions of Processes Through ILP Techniques

机译:通过ILP技术对齐文本和图形描述过程

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With the aim of having individuals from different backgrounds and expertise levels examine the operations in an organization, different representations of business processes are maintained. To have these different representations aligned is not only a desired feature, but also a real challenge due to the contrasting nature of each process representation. In this paper we present an efficient technique for aligning a textual description and a graphical model of a process. The technique is grounded on using natural language processing techniques to extract linguistic features of each representation, and encode the search as a mathematical optimization encoded using Integer Linear Programming (ILP) whose resolution ensures an optimal alignment between both descriptions. The technique has been implemented and the experiments witness the significance of the approach with respect to the state-of-the-art technique for the same task.
机译:随着来自不同背景和专业级别的个人的目的,检查组织中的操作,维持不同的业务流程的表现。为了使这些不同的表示对齐不仅是一个期望的特征,而且是由于每个过程表示的对比性质,也是一个真正的挑战。在本文中,我们提出了一种用于对准过程的文本描述和图形模型的有效技术。该技术接地使用自然语言处理技术来提取每个表示的语言特征,并将搜索作为使用整数线性编程(ILP)编码的数学优化,其分辨率确保两个描述之间的最佳对准。该技术已经实施,实验见证了对相同任务的最先进技术的方法的重要性。

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