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

Saba Latif, Huma Latif, Muhammad Rameez Ur Rahman

TL;DR

This paper tackles the limitation of XES in expressing object interactions in process logs by proposing the Object-Centric Event Data Ontology (OCEDO) and showing its integration with SPARQL queries in a GraphDB setting. It demonstrates OCEDO on the BPIC 2013 dataset, converting events and their object relations into an OCEDO representation (TTL) and querying explicit event-object relationships. A key contribution is a SPARQL query design that robustly links ext:EventObject with ext:event and ext:object, using OPTIONALs to handle missing attributes and an EXISTS pattern to detect ping-pong behavior. The results illustrate richer, more readable process data, enabling deeper insights into dependencies and inter-object dynamics, and the approach complements OCEL2.0 while offering a flexible, interoperable framework for object-centric process mining.

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.

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

TL;DR

This paper tackles the limitation of XES in expressing object interactions in process logs by proposing the Object-Centric Event Data Ontology (OCEDO) and showing its integration with SPARQL queries in a GraphDB setting. It demonstrates OCEDO on the BPIC 2013 dataset, converting events and their object relations into an OCEDO representation (TTL) and querying explicit event-object relationships. A key contribution is a SPARQL query design that robustly links ext:EventObject with ext:event and ext:object, using OPTIONALs to handle missing attributes and an EXISTS pattern to detect ping-pong behavior. The results illustrate richer, more readable process data, enabling deeper insights into dependencies and inter-object dynamics, and the approach complements OCEL2.0 while offering a flexible, interoperable framework for object-centric process mining.

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.

Paper Structure

This paper contains 8 sections, 4 figures, 1 table.

Table of Contents

  1. Introduction
  2. BPIC 2013 Challenge Event Log
  3. Explanation of the Event-Object Relationship of OCEDO into SPARQL Query
  4. Questions of BPIC 2013 challenge
  5. Ping-Pong Behavior
  6. Ping-Pong Behavior Analysis
  7. Related Work
  8. Conclusion

Figures (4)

  • Figure 1: The visualization of Object Centric Event Data(OCED) meta model
  • Figure 2: The abstract class diagram of the BPIC 2013 event log in XES representing event log, trace, and event attributes. The full diagram is available at the link https://tinyurl.com/BPIC2013ClassDiagram
  • Figure 3: An example showing BPIC 2013 event log example converted in OCEDO representation where events and objects are related with qualifiers and object to object relations in object centric manner
  • Figure 4: Result of BPIC 2013 in the form of a Graph in GraphDB extracted by running the above SPARQL Query