论文标题
Amoretto：一种推导IoT增强事件日志的方法
AMORETTO: A Method for Deriving IoT-enriched Event Logs
论文作者
论文摘要
Process Analytics旨在通过分析事件日志来了解业务流程的行为和绩效，并记录过程的执行。随着物联网（IoT）的广泛使用，物联网数据已经很容易获得，并且可以提供有关业务流程的有价值的上下文信息。因此，过程分析可以从将物联网数据纳入事件日志中受益，以支持更全面的上下文感知分析。但是，大多数现有的研究都集中在使用物联网数据增强业务流程模型上，而将物联网数据纳入事件日志中以进行流程分析，几乎没有引起关注。因此，本文旨在将系统数据集成到事件日志中，以支持上下文感知过程分析。为此，我们提出了Amoretto-一种推导IoT增强事件日志的方法。首先，我们提供了上下文数据的分类，称为IoT-Pro上下文分类，其中包含两个上下文维度：IoT上下文和过程上下文。接下来，我们提出了一种在IoT-Pro指导下将物联网数据与事件日志集成的方法，以产生富含IoT的事件日志。为了证明Amoretto的适用性，我们将其应用于现实生活中的用例，并检查了是否足以解决某些特定的分析问题的衍生富含IOT的事件日志。
Process analytics aims to gain insights into the behaviour and performance of business processes through the analysis of event logs, which record the execution of processes. With the widespread use of the Internet of Things (IoT), IoT data has become readily available and can provide valuable context information about business processes. As such, process analytics can benefit from incorporating IoT data into event logs to support more comprehensive, context-aware analyses. However, most existing studies focus on enhancing business process models with IoT data, whereas little attention has been paid to incorporating IoT data into event logs for process analytics. Hence, this paper aims to systematically integrate IoT data into event logs to support context-aware process analytics. To this end, we propose AMORETTO - a method for deriving IoT-enriched event logs. Firstly, we provide a classification of context data, referred to as the IoT-Pro context classification, which encompasses two context dimensions: IoT context and process context. Next, we present a method for integrating IoT data with event logs, guided by IoT-Pro, to yield IoT-enriched event logs. To demonstrate the applicability of AMORETTO, we applied it to a real-life use case and examined whether the derived IoT-enriched event log sufficed to address certain specific analytical questions.
