提出新方法，从教育系统中高效提取多视角流程数据。
OCPM$^2$: Extending the Process Mining Methodology for Object-Centric Event Data Extraction
- 基于PM²框架构建结构化数据提取流程
- 成功从学习与评分系统中生成OCEL日志
- 适合需要多视角分析的教育与管理系统开发者
面向对象的流程挖掘（OCPM）可从学生、教师、小组等多角度分析业务流程。其核心是对象中心事件数据（OCED），用于记录事件与对象类型间的关系，体现不同分析视角。相比传统流程挖掘，使用OCED可避免重复抽取日志即可切换分析焦点，但其复杂关系的记录也增加了日志提取难度。本文提出基于成熟流程挖掘框架PM²的OCED提取方法，设计了一套结构化流程指导数据分析师与工程师进行提取。通过在真实教育场景中的应用验证，该方法成功从学习管理系统与行政评分系统中提取出标准格式的对象中心事件日志（OCEL），证明了其有效性。
原文摘要 · Abstract (English)
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 methodology 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.
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