Represent The Discovered Proportional Information Control Net Using Extended XPDL Format

Dinh-Lam Pham, Hyun Ahn, Kyoung-Sook Kim, Kwanghoon Pio Kim

Abstract: The XML Process Definition Language (XPDL) is a widely used XML format for storing and exchanging business process information from various workflow systems. In this paper, we introduce the methodology to represent the run-time proportional Information Control Net (pICN) discovered from the business process event log by using XPDL format. More precisely, we propose an approach and algorithm to export pICN data from the graphical visualization model to XPDL format (version 2.1) with several extended attributes to store run-time proportional information of activities in the system. By storing the discovered pICN in an XPDL format, we do not have to rediscover it again in the next mining time since using the information that has been recorded. With the popular and widespread use of the XPDL format, we can use the discovered pICN model in various business process management and workflow systems.