Object-Centric Analysis of XES Event Logs: Integrating OCED Modeling with SPARQL Queries

TL;DR

This paper introduces OCEDO, an ontology-based approach integrated with SPARQL queries, to enhance the analysis of object-centric event logs, making relationships more explicit and improving process understanding.

Contribution

It proposes OCEDO to extend XES event logs with object-centric modeling, enabling richer, more insightful process analysis using semantic queries.

Findings

OCEDO improves the clarity of event-object relationships.

Integration with SPARQL enables complex queries on event logs.

Application to BPIC 2013 demonstrates enhanced process insights.

Abstract

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.