Framework for Extracting Real-World Object-Centric Event Logs from Game Data

Lecture notes in business information processing, pp. 363–375

Abstract

Abstract In recent years, process mining has shifted towards an object-centric perspective on processes, considering interacting sub-processes that operate on objects from different types. Since businesses are hesitant to publicly share such event data that may expose business internals, there is a lack of public real-world object-centric event logs. We propose a novel approach to use publicly accessible game data as a large-scale data source for object-centric event logs. The contributions of this paper include (1) a framework to extract object-centric event logs from real-time strategy game data, (2) an application of that framework for the game Age of Empires II, (3) a published Python library to automatically transform Age of Empire gameplays into an object-centric event log, (4) a publicly accessible object-centric event log extracted from 325,398 gameplays, and (5) an evaluation of the published aoe2pm library. The evaluation shows that the extracted event logs can be used by state-of-the-art applications to generate relevant behavior insights that require an object-centric perspective. The size and attribute richness of the object-centric event log motivate future research questions in the field of object-centric process mining.

Authors 4

1. Lukas Liß corresponding Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Aachen, Germany

2. Nico Elbert

   University of Würzburg

   Affiliation as printed

   Julius Maximillians Universität Würzburg, Würzburg, Germany

3. Christoph M. Flath

   University of Würzburg

   Affiliation as printed

   Julius Maximillians Universität Würzburg, Würzburg, Germany

4. Wil M. P. van der Aalst Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Aachen, Germany