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.

翻译：以物体为中心的过程采矿为分析事件数据提供了一套技术,以便分析事件与若干物体相关联的事件数据。为了存储以物体为中心的事件日志(OCELs)、JSON-OCEL和JSON-XML格式,最近提出了建议,然而,拟议的OCEL的实施以文件为基础。这意味着整个文件需要加以解析,以便应用过程采矿技术,例如发现以物体为中心的过程模型。在本文件中,我们提议使用MongoDB文档数据库为OCEL格式储存一个数据库。由于MongoDB中的文件相当于JSON 对象,因此目前JSON执行标准的情况可以在MongoDB的一系列收藏中直接翻译。