Compositional Discovery of Workflow Nets from Event Logs Using Morphisms
Multiagent Systems
2018-06-13 v1 Logic in Computer Science
Abstract
This paper presents a modular approach to discover process models for multi-agent systems from event logs. System event logs are filtered according to individual agent behavior. We discover workflow nets for each agent using existing process discovery algorithms. We consider asynchronous interactions among agents. Given a specification of an interaction protocol, we propose a general scheme of workflow net composition. By using morphisms, we prove that this composition preserves soundness of components. A quality evaluation shows the increase in the precision of models discovered by the proposed approach.
Keywords
Cite
@article{arxiv.1806.04254,
title = {Compositional Discovery of Workflow Nets from Event Logs Using Morphisms},
author = {Luca Bernardinello and Irina Lomazova and Roman Nesterov and Lucia Pomello},
journal= {arXiv preprint arXiv:1806.04254},
year = {2018}
}
Comments
The extended version of the paper accepted for ATAED'18