Techniques to discover Petri nets from event data assume precisely one case identifier per event. These case identifiers are used to correlate events, and the resulting discovered Petri net aims to describe the life-cycle of individual cases. In reality, there is not one possible case notion, but multiple intertwined case notions. For example, events may refer to mixtures of orders, items, packages, customers, and products. A package may refer to multiple items, multiple products, one order, and one customer. Therefore, we need to assume that each event refers to a collection of objects, each having a type (instead of a single case identifier). Such object-centric event logs are closer to data in real-life information systems. From an object-centric event log, we want to discover an object-centric Petri net with places that correspond to object types and transitions that may consume and produce collections of objects of different types. Object-centric Petri nets visualize the complex relationships among objects from different types. This paper discusses a novel process discovery approach implemented in PM4Py. As will be demonstrated, it is indeed feasible to discover holistic process models that can be used to drill-down into specific viewpoints if needed.

中文翻译：

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发现以对象为中心的 Petri 网

从事件数据中发现 Petri 网的技术假设每个事件恰好有一个案例标识符。这些案例标识符用于关联事件，由此发现的 Petri 网旨在描述单个案例的生命周期。实际上，没有一种可能的 case 概念，而是多个相互交织的 case 概念。例如，事件可能是指订单、物品、包裹、客户和产品的混合。一个包裹可能涉及多个项目、多个产品、一个订单和一个客户。因此，我们需要假设每个事件都引用一个对象集合，每个对象都有一个类型（而不是单个 case 标识符）。这种以对象为中心的事件日志更接近现实生活中的信息系统中的数据。从以对象为中心的事件日志中，我们想要发现一个以对象为中心的 Petri 网，其位置对应于对象类型和转换，这些转换可能消耗和产生不同类型的对象集合。以对象为中心的 Petri 网将不同类型的对象之间的复杂关系可视化。本文讨论了一种在 PM4Py 中实现的新流程发现方法。正如将要证明的，如果需要，发现可用于深入到特定观点的整体过程模型确实是可行的。