Transforming Object-Centric Event Logs to Temporal Event Knowledge Graphs (Extended Version)

Fuente: arXiv
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Main Authors: Khayatbashi, Shahrzad, Hartig, Olaf, Jalali, Amin
Format: Preprint
Published: 2024
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author Khayatbashi, Shahrzad
Hartig, Olaf
Jalali, Amin
author_facet Khayatbashi, Shahrzad
Hartig, Olaf
Jalali, Amin
contents Event logs play a fundamental role in enabling data-driven business process analysis. Traditionally, these logs track events related to a single object, known as the case, limiting the scope of analysis. Recent advancements, such as Object-Centric Event Logs (OCEL) and Event Knowledge Graphs (EKG), capture better how events relate to multiple objects. However, attributes of objects can change over time, which was not initially considered in OCEL or EKG. While OCEL 2.0 has addressed some of these limitations, there remains a research gap concerning how attribute changes should be accommodated in EKG and how OCEL 2.0 logs can be transformed into EKG. This paper fills this gap by introducing Temporal Event Knowledge Graphs (tEKG) and defining an algorithm to convert an OCEL 2.0 log to a tEKG.
format Preprint
id arxiv_https___arxiv_org_abs_2406_07596
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Transforming Object-Centric Event Logs to Temporal Event Knowledge Graphs (Extended Version)
Khayatbashi, Shahrzad
Hartig, Olaf
Jalali, Amin
Databases
Event logs play a fundamental role in enabling data-driven business process analysis. Traditionally, these logs track events related to a single object, known as the case, limiting the scope of analysis. Recent advancements, such as Object-Centric Event Logs (OCEL) and Event Knowledge Graphs (EKG), capture better how events relate to multiple objects. However, attributes of objects can change over time, which was not initially considered in OCEL or EKG. While OCEL 2.0 has addressed some of these limitations, there remains a research gap concerning how attribute changes should be accommodated in EKG and how OCEL 2.0 logs can be transformed into EKG. This paper fills this gap by introducing Temporal Event Knowledge Graphs (tEKG) and defining an algorithm to convert an OCEL 2.0 log to a tEKG.
title Transforming Object-Centric Event Logs to Temporal Event Knowledge Graphs (Extended Version)
topic Databases
url https://arxiv.org/abs/2406.07596