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Authors: Hyun Ahn 1 ; Kyoungsook Kim 2 and Kwanghoon Pio Kim 1

Affiliations: 1 Kyonggi University, Korea, Republic of ; 2 Kyunghee University, Korea, Republic of

ISBN: 978-989-758-298-1

Keyword(s): Business Process Intelligence, Hierarchical Property, Process Entity Hierarchy, Hierarchy Generator, XPDL 2.0.

Abstract: Business process intelligence enables us to discover a variety of deep insights about business process execution, and it provides a set of useful methods for related decision-making activities. The hierarchical information that this paper focuses on is an important sort of information and it ought to be used in analyzing hierarchical properties of business processes. In this paper, we present a useful hierarchy generator to make it easier to perform analytics of hierarchical properties among business process entities. To this end, we define an abstracted meta-model that represents hierarchical relations among entity types in XPDL process models. According to the relational rules of the meta-model, a process entity hierarchy can be organized, analyzed, and visualized.

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Paper citation in several formats:
Ahn H., Kim K. and Kim K. (2018). Generating Process Entity Hierarchies from XPDL Process Models.In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-298-1, pages 690-695. DOI: 10.5220/0006756106900695

@conference{iceis18,
author={Hyun Ahn and Kyoungsook Kim and Kwanghoon Pio Kim},
title={Generating Process Entity Hierarchies from XPDL Process Models},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2018},
pages={690-695},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006756106900695},
isbn={978-989-758-298-1},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Generating Process Entity Hierarchies from XPDL Process Models
SN - 978-989-758-298-1
AU - Ahn H.
AU - Kim K.
AU - Kim K.
PY - 2018
SP - 690
EP - 695
DO - 10.5220/0006756106900695

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