AI 中文总结
针对以对象为中心的流程中案例概念选择难题，提出ER模型引导的框架，通过主实体与次级协调实体的对象关系图定义案例，在1000事件OCEL日志上生成40个连贯案例，解决现有方法的缺陷。
AI 中文摘要
以对象为中心的流程挖掘在事件日志上运行，其中每个事件引用多个不同类型的对象。一个核心挑战是定义案例概念，即将事件分组为连贯的流程执行实例，没有它，流程发现和一致性检查无法进行。现有方法要么将日志平化为单一对象类型（丢失对象间的协调），要么使用对象图的连通分量（因类资源对象产生过于复杂的案例）。我们提出一种实体-关系（ER）模式引导的框架，该框架识别锚定每个流程执行的主实体（PE）类型，将其他实体类型分类为次级协调实体或资源，并将案例定义为主实体与次级协调实体对象关系图的连通分量。所得到的案例概念可生成带有自动传递闭包的严格划分。该框架通过订单管理流程示例说明，并在包含1000个事件的OCEL日志上验证，产生40个结构连贯的案例。
英文摘要
Object-centric process mining operates on event logs where each event references multiple objects of different types. A fundamental challenge is defining a case notion - the grouping of events into coherent process execution instances -without which process discovery and conformance checking cannot proceed. Existing approaches either flatten the log to a single object type (losing inter-object coordination) or use the connected component of the object graph (creating overly complex cases due to resource-like objects). We propose an Entity-Relationship-schema-guided framework that identifies the primary entity (PE) type anchoring each process execution, classifies other entity types as secondary coordination entities or resources, and defines cases as connected components of the primary and secondary entity object relationship graph. The resulting case notion is shown to produce strict partitions with automatic transitive closure. The framework is illustrated with an order management process and validated on a 1,000-event OCEL log producing 40 structurally coherent cases.
Comments12 pages, 2 figures, 4 tables, BPM Objects 2026 workshop
