Object-Centric Event Logs: Specifications, Comparative Analysis and Refinement
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arXiv
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| Format: | Preprint |
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2024
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| _version_ | 1866913357894778880 |
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| author | Goossens, Alexandre De Smedt, Johannes Vanthienen, Jan |
| author_facet | Goossens, Alexandre De Smedt, Johannes Vanthienen, Jan |
| contents | Process mining aims to comprehend and enhance business processes by analyzing event logs. Recently, object-centric process mining has gained traction by considering multiple objects interacting with each other in a process. This object-centric approach offers advantages over traditional methods by avoiding dimension reduction issues. However, in contrast to traditional process mining where a standard event log format was quickly agreed upon with XES providing a common platform for further research and industry, various object-centric logging formats have been proposed, each addressing specific challenges such as object relations or dynamic attribute changes. This makes that interoperability of object-centric algorithms remains a challenge, hindering reproducibility and generalizability in research. Additionally, the object-centric process storage paradigm aligns well with a wide range of object-oriented databases storing process data.
This paper introduces a specifications framework from three perspectives originating from process mining (what should be analyzed), object-centric process modeling (how it should be modeled), and database storage (how it should be stored) perspectives in order to compare and evaluate object-centric log formats. By identifying commonalities and discrepancies among these formats, the study delves into unresolved issues and proposes potential solutions. Ultimately, this research contributes to advancing object-centric process mining by facilitating a deeper understanding of event log formats and promoting consistency and compatibility across methodologies. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_12709 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Object-Centric Event Logs: Specifications, Comparative Analysis and Refinement Goossens, Alexandre De Smedt, Johannes Vanthienen, Jan Databases Process mining aims to comprehend and enhance business processes by analyzing event logs. Recently, object-centric process mining has gained traction by considering multiple objects interacting with each other in a process. This object-centric approach offers advantages over traditional methods by avoiding dimension reduction issues. However, in contrast to traditional process mining where a standard event log format was quickly agreed upon with XES providing a common platform for further research and industry, various object-centric logging formats have been proposed, each addressing specific challenges such as object relations or dynamic attribute changes. This makes that interoperability of object-centric algorithms remains a challenge, hindering reproducibility and generalizability in research. Additionally, the object-centric process storage paradigm aligns well with a wide range of object-oriented databases storing process data. This paper introduces a specifications framework from three perspectives originating from process mining (what should be analyzed), object-centric process modeling (how it should be modeled), and database storage (how it should be stored) perspectives in order to compare and evaluate object-centric log formats. By identifying commonalities and discrepancies among these formats, the study delves into unresolved issues and proposes potential solutions. Ultimately, this research contributes to advancing object-centric process mining by facilitating a deeper understanding of event log formats and promoting consistency and compatibility across methodologies. |
| title | Object-Centric Event Logs: Specifications, Comparative Analysis and Refinement |
| topic | Databases |
| url | https://arxiv.org/abs/2405.12709 |