Object Centric Event Data (OCED) has gained attention in recent years within the field of process mining. However, there are still many challenges, such as connecting the XES format to object-centric approaches to enable more insightful analysis. It is important for a process miner to understand the insights and dependencies of events in the event log to see what is going on in our processes. In previous standards, the dependencies of event logs are only used to show events, but not their dependencies among each other and actions in detail as described in OCEDO. There is more information in the event log when it is revealed using the OCEDO model. It becomes more understandable and easier to grasp the concepts and deal with the processes. This paper proposes the use of Object-Centric Event Data Ontology (OCEDO) to overcome the limitations of the XES standard in event logs for process mining. We demonstrate how the OCEDO approach, integrated with SPARQL queries, can be applied to the BPIC 2013 dataset to make the relationships between events and objects more explicit. It describes dealing with the meta descriptions of the OCEDO model on a business process challenge as an event log. It improves the completeness and readability of process data, suggesting that object-centric modeling allows for richer analyses than traditional approaches.

翻译：近年来，对象中心事件数据（OCED）在流程挖掘领域受到关注。然而，仍存在诸多挑战，例如将XES格式与以对象为中心的方法相连接，以实现更具洞察力的分析。流程挖掘者需理解事件日志中事件的洞察与依赖关系，以明晰流程运行状况。在先前标准中，事件日志的依赖关系仅用于展示事件，但未如OCEDO所详述般揭示事件间相互依赖关系及具体行为。通过OCEDO模型揭示事件日志中的更多信息后，概念理解与流程处理将变得更直观且易于掌握。本文提出采用对象中心事件数据本体（OCEDO）以克服流程挖掘中XES标准在事件日志方面的局限性。我们演示了如何将OCEDO方法与SPARQL查询结合，应用于BPIC 2013数据集，使事件与对象间关系更显式化。该研究将业务流程挑战作为事件日志，阐述了OCEDO模型元描述的处理方法。此方法提升了流程数据的完整性与可读性，表明以对象为中心的建模相比传统方法能实现更丰富的分析。