Year: 2022
Type: preprint
Abstract: Object-centric process mining provides a set of techniques for the analysis of event data where events are associated to several objects. To store Object-centric Event Logs (OCELs), the JSON-OCEL and JSON-XML formats have been recently proposed. However, the proposed implementations of the OCEL are file-based. This means that the entire file needs to be parsed in order to apply process mining techniques, such as the discovery of object-centric process models. In this paper, we propose a database storage for the OCEL format using the MongoDB document database. Since documents in MongoDB are equivalent to JSON objects, the current JSON implementation of the standard could be translated straightforwardly in a series of MongoDB collections.
Source: arXiv (Cornell University)
Authors: Farhang Ghahfarokhi, Anahita, Ghahfarokhi, Anahita Farhang, Park, Gyunam, van der Aalst, Wil M. P.
Institution: RWTH Aachen University
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W4221141133