Semantic and Structural Performer Clustering in BPMN Models Transformed into Social Network Models

Wiem Khlif, Hanêne Ben-abdallah

2015

Abstract

Current trends in organization restructuring focus on the social relationships among the organizational actors in order to improve the business process. Proposed business process model restructuring approaches adopt either social network discovery or rediscovery techniques. Social network discovery uses semantic information to guide the affiliation process during its analyses, whereas social network rediscovery uses structural information to identify groups in the social network. In this paper, we propose a hybrid method that exploits both knowledge discovery and rediscovery to suggest a new structure of a business process model that is based on performers clustering. Using the context concept, the proposed method applies a hierarchical clustering algorithm to determine the performer partitions; the algorithm uses two newly defined distances that account for the semantic and structural information. The method is illustrated and evaluated experimentally to analyze its performance.

References

  1. Ahn, H., Park, Ch., Kim, K.P., 2014. A correspondence analysis framwork for workflow-supported performeractivity affiliation networks. In ICACT'14, 16th Intern. Conf. on Advanced Communication Technology. pp. 350-354. IEEE.
  2. Battsetseg, A., Hyun, A., Lee, Y., Park, M., Kim, H., Yoon, W., Kim, K. P., 2013. Organizational Closeness Centrality Analysis on Workflow supported ActivityPerformer Affiliation Networks. In ICACT'13, 15th International Conference on Advanced Communication Technology. pp. 154-157.
  3. Boulmakoul, A., Besri, Z., 2013. Scoping Enterprise Organizational Structure through Topology Foundation and Social Network Analysis. In INTIS'13, Innovation and News Trends in Information Systems. Tanger, Morocco.
  4. Choi, I., Song, M., Kim, K.P., and Lee, Y., 2007. Analysis of social relations among organizational units derived from process models and redesign of organization structure. In Journal of the Korean Institute of Industrial Engineers. 33(1) pp.11-25.
  5. Curtis, B., Kellner, M., Over. J., 1992. Process Modeling. Communication of the ACM. 35(9).
  6. Hong, S., Lee, Y., Kim, J., Choi, I., 2012. A Methodology for Redesigning an Organizational structure based on Business Process Models using SNA Techniques. In Journal of Innovative Computing, Information and Control. 8(B), ISSN 1349-4198. pp. 5411-5424.
  7. ISO/IEC 19510, 2013. Information technology -- Object Management Group Business Process Model and Notation. Available from: http://www.iso.org/iso/ catalogue_detail.htm%3Fcsnumber%3D62652.
  8. Kantardzic, M., 2002. Data Mining: Concepts, Models, Methods, and Algorithms. Wiley-IEEE Press.
  9. Khlif, W., Ben-Abdallah, H., 2015. Integrating semantics and structural information for BPMN model refactoring. In SERA'15, 13th Intern. Conf. on Software Engineering Research, Management and Applications. Toulouse.
  10. Kim, H., Ahn, H., Kim, K.P., 2014. Modeling, Discovering, and Visualizing Workflow PerformerRole Affiliation Networking Knowledge. In TIIS'14, Journal of Transactions on Internet and Information Systems. 8(2). pp. 689-706.
  11. Kim, K.P., 2013. Discovering Activity-Performer Affiliation Knowledge on ICN-based Workflow Models. In Journal of information science and engineering. 29. pp. 79-97.
  12. Noel, M. T., Micheal, L. T., Charles, F., 1979. Social Network Analysis for Organizations. In The Academy of Management Review. 4(4), pp. 507-519.
  13. Oinas-Kukkonen, H., Lyytinen, K., Yoo, Y., 2010. Social Networks and Information Systems: Ongoing and Future Research Streams. In Journal of the Association of Information Systems. 11(2). pp. 61-68.
  14. Stanley, W., Katherine, F., 1999. Social Network Analysis: Methods and Applications. In Revue française de sociologie. 36-4. pp. 781-783.
  15. Song, M., Van der Aalst, W. M. P., 2008. Towards comprehensive support for organizational mining. In Decision Support Systems. 46(1), pp.300-317.
  16. Van der Aalst, W. M. P., Reijers, H. A., Song, M., 2005. Discovering social networks from event logs. In Computer Supported Cooperative Work. 14(6), pp. 549-593.
Download


Paper Citation


in Harvard Style

Khlif W. and Ben-abdallah H. (2015). Semantic and Structural Performer Clustering in BPMN Models Transformed into Social Network Models . In Proceedings of the 10th International Conference on Software Engineering and Applications - Volume 1: ICSOFT-EA, (ICSOFT 2015) ISBN 978-989-758-114-4, pages 79-86. DOI: 10.5220/0005555800790086


in Bibtex Style

@conference{icsoft-ea15,
author={Wiem Khlif and Hanêne Ben-abdallah},
title={Semantic and Structural Performer Clustering in BPMN Models Transformed into Social Network Models},
booktitle={Proceedings of the 10th International Conference on Software Engineering and Applications - Volume 1: ICSOFT-EA, (ICSOFT 2015)},
year={2015},
pages={79-86},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005555800790086},
isbn={978-989-758-114-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Software Engineering and Applications - Volume 1: ICSOFT-EA, (ICSOFT 2015)
TI - Semantic and Structural Performer Clustering in BPMN Models Transformed into Social Network Models
SN - 978-989-758-114-4
AU - Khlif W.
AU - Ben-abdallah H.
PY - 2015
SP - 79
EP - 86
DO - 10.5220/0005555800790086