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A New Method for Parsing Structures of Business Flow Diagram

机译:一种解析业务流程图结构的新方法

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In many business domain, flow diagrams play more and more important roles with which to represent commercial operation process. Many professional persons promote capability of decisions by means of this graphical descriptive tool. One of important issues is that given a diagram how to obtain the similar peer ones in repository or rank them according to designed algorithms. In this paper, we introduce a novel metric algorithm. Compared to previews methods, we focus not only on conventional semantic or syntactic similarity, but also on the nodes order in entire diagram hierarchical relationship. By precisely studying hundreds of diagrams, we conclude that node's layer order affect the similarity between two diagrams in some fields, such as business diagrams. We integrated layer order weight value and texts information embedded in the node into the flow diagram similarity measure system. Experimental results show that our algorithm is valid and efficient especially when considering layer orders.
机译:在许多业务领域中,流程图扮演着越来越重要的角色,用来代表商业运作过程。许多专业人员通过此图形描述工具来提高决策能力。重要的问题之一是给定一个图,该图如何在存储库中获取相似的对等实体或如何根据设计的算法对它们进行排名。在本文中,我们介绍了一种新颖的度量算法。与预览方法相比,我们不仅关注常规的语义或句法相似性,而且关注整个图层次关系中的节点顺序。通过精确地研究数百个图,我们得出结论,节点的层顺序会影响某些图(例如业务图)中两个图之间的相似性。我们将节点中嵌入的图层顺序权重值和文本信息集成到流程图相似性度量系统中。实验结果表明,该算法是有效且有效的,特别是考虑层序时。

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