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Aligning Textual and Graphical Descriptions of Processes Through ILP Techniques

机译:通过ILP技术对齐过程的文本和图形描述

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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:为了让来自不同背景和专业知识水平的人员检查组织中的操作,维护了业务流程的不同表示形式。由于每个过程表示形式的对比性,使这些不同的表示形式对齐不仅是期望的功能,而且是一个真正的挑战。在本文中,我们提出了一种用于对齐文本描述和过程图形模型的有效技术。该技术基于使用自然语言处理技术来提取每个表示形式的语言特征,并将搜索编码为使用整数线性规划(ILP)编码的数学优化,其分辨率可确保两个描述之间的最佳对齐。该技术已经实施,实验证明了该方法对于同一任务的最新技术的重要性。

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