Computing a mapping between two process models is a crucial technique, since it enables reasoning and operating across processes, like providing a similarity score between two processes, or merging different process variants to generate a consolidated process model. In this paper we present a new flexible technique for process model mapping, based on the relaxation labeling constraint satisfaction algorithm. The technique can be instantiated so that different modes are devised, depending on the context. For instance, it can be adapted to the case where one of the mapped process models is incomplete, or it can be used to ground an adaptable similarity measure between process models. The approach has been implemented inside the open platform NLP4BPM, providing a visualization of the performed mappings and computed similarity scores. The experimental results witness the flexibility and usefulness of the technique proposed.

中文翻译：

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使用松弛标签的灵活过程模型映射

计算两个流程模型之间的映射是一项至关重要的技术，因为它可以进行跨流程的推理和操作，例如在两个流程之间提供相似性评分，或合并不同的流程变量以生成合并的流程模型。在本文中，我们基于松弛标记约束满足算法，提出了一种新的灵活的过程模型映射技术。可以实例化该技术，以便根据上下文设计不同的模式。例如，它可以适合于其中一个映射的过程模型不完整的情况，也可以用于建立过程模型之间的适应性相似性度量。该方法已在开放平台NLP4BPM内实现，提供了已执行映射和计算出的相似性评分的可视化。