论文标题
一个可扩展的数据库，用于存储以对象为中心的事件日志
A Scalable Database for the Storage of Object-Centric Event Logs
论文作者
论文摘要
以对象为中心的过程挖掘提供了一组技术，用于分析事件数据，其中事件与几个对象关联。为了存储以对象为中心的事件日志（OCEL），最近提出了JSON-OCEL和JSON-XML格式。但是，OCEL的建议实现基于文件。这意味着需要对整个文件进行解析，以应用过程挖掘技术，例如发现以对象为中心的过程模型。在本文中，我们使用MongoDB文档数据库为OCEL格式提出了一个数据库存储。由于MongoDB中的文档等同于JSON对象，因此标准的当前JSON实现可以在一系列MongoDB集合中直接翻译。
Object-centric process mining provides a set of techniques for the analysis of event data where events are associated to several objects. To store Object-centric Event Logs (OCELs), the JSON-OCEL and JSON-XML formats have been recently proposed. However, the proposed implementations of the OCEL are file-based. This means that the entire file needs to be parsed in order to apply process mining techniques, such as the discovery of object-centric process models. In this paper, we propose a database storage for the OCEL format using the MongoDB document database. Since documents in MongoDB are equivalent to JSON objects, the current JSON implementation of the standard could be translated straightforwardly in a series of MongoDB collections.
