Object-Centric Process Mining (OCPM) enables business process analysis from multiple perspectives. For example, an educational path can be examined from the viewpoints of students, teachers, and groups. This analysis depends on Object-Centric Event Data (OCED), which captures relationships between events and object types, representing different perspectives. Unlike traditional process mining techniques, extracting OCED minimizes the need for repeated log extractions when shifting the analytical focus. However, recording these complex relationships increases the complexity of the log extraction process. To address this challenge, this paper proposes a method for extracting OCED based on PM\inst{2}, a well-established process mining framework. Our approach introduces a structured framework that guides data analysts and engineers in extracting OCED for process analysis. We validate this framework by applying it in a real-world educational setting, demonstrating its effectiveness in extracting an Object-Centric Event Log (OCEL), which serves as the standard format for recording OCED, from a learning management system and an administrative grading system.

翻译：面向对象的过程挖掘（OCPM）支持从多个视角进行业务流程分析。例如，一条教育路径可以从学生、教师和群体的角度进行考察。这种分析依赖于面向对象的事件数据（OCED），该数据捕获了事件与对象类型之间的关系，代表了不同的分析视角。与传统的过程挖掘技术不同，提取OCED能在转换分析焦点时最大限度地减少重复日志提取的需求。然而，记录这些复杂关系增加了日志提取过程的复杂性。为应对这一挑战，本文提出了一种基于成熟过程挖掘框架PM\inst{2}的OCED提取方法。我们的方法引入了一个结构化框架，用于指导数据分析师和工程师为过程分析提取OCED。我们通过在真实教育场景中应用该框架来验证其有效性，展示了其能够从学习管理系统和行政评分系统中提取作为OCED标准记录格式的面向对象事件日志（OCEL）。