标题： 面向对象的核心元模型用于物联网增强的事件日志 显示英文标题

标题： An object-centric core metamodel for IoT-enhanced event logs

摘要： 物联网（IoT）技术的进步促使许多组织在各个领域，如制造、医疗和智能空间中将物联网设备与业务流程（BPs）进行集成。物联网设备的普及导致大量物联网数据的生成，为业务流程的物理上下文提供了一个窗口，这有助于使用流程挖掘（PM）技术发现关于业务流程的新见解。然而，为了实现这些好处，物联网数据需要与传统流程（事件）数据结合，由于物联网数据和流程数据在粒度级别等方面的特性差异很大，这具有挑战性。最近，提出了几种数据模型来整合物联网数据与流程数据，每个模型都基于不同的假设和需求，关注数据集成的不同方面。这种碎片化阻碍了流程挖掘领域的数据交换和协作，例如，使研究人员共享数据变得繁琐。在本文中，我们提出了一种核心模型，综合了现有数据模型的最重要特征。由于核心模型基于共同的需求，它大大促进了该领域内的数据共享和协作。使用原型化的Python实现对该模型进行了各种用例的评估，并证明它满足这些共同需求。 显示英文摘要

摘要： Advances in Internet-of-Things (IoT) technologies have prompted the integration of IoT devices with business processes (BPs) in many organizations across various sectors, such as manufacturing, healthcare and smart spaces. The proliferation of IoT devices leads to the generation of large amounts of IoT data providing a window on the physical context of BPs, which facilitates the discovery of new insights about BPs using process mining (PM) techniques. However, to achieve these benefits, IoT data need to be combined with traditional process (event) data, which is challenging due to the very different characteristics of IoT and process data, for instance in terms of granularity levels. Recently, several data models were proposed to integrate IoT data with process data, each focusing on different aspects of data integration based on different assumptions and requirements. This fragmentation hampers data exchange and collaboration in the field of PM, e.g., making it tedious for researchers to share data. In this paper, we present a core model synthesizing the most important features of existing data models. As the core model is based on common requirements, it greatly facilitates data sharing and collaboration in the field. A prototypical Python implementation is used to evaluate the model against various use cases and demonstrate that it satisfies these common requirements.