A Learning Architecture for Complex Organization

Francesco Basciani, Gianni Rosa

2016

Abstract

Modern organizations are challenged to understand and put in action latest procedures and rules in order to constantly improve their service quality while coping with quickly changing contexts and decreasing resources. Such are defined by means of several kind of models that are in general quite interrelated. In this paper, we propose a Learning Architecture using Zachman Framework that allows us to define relations among these models and permits us to handle with huge amount of informations and resources in an organized way. Furthermore, the architecture enables process-driven learning and improvement through enriched models with contextual knowledge in terms of documentation and resources.

References

  1. (2011). Business Process Model OMG. Notation (BPMN) 2.0. Object Management Group: Needham, MA, 2494:34.
  2. (2013). OMG. Case Management Model and Notation (CMMN), V 1.0. Technical report, Object Management Group OMG.
  3. (2014). OMG. Business Motivation Model (BMM). Technical report, Object Management Group OMG.
  4. Alfonso Pierantonio, Gianni Rosa, e. a. Design and Initial Implementation of Metamodels for Describing Business Processes in Public Administrations. Deliverable D3.2 - EU FP7 Project Learn PAd.
  5. Alfonso Pierantonio, Gianni Rosa, e. a. Domain Analysis of Business Processes in Public Administrations. Deliverable D3.1 - EU FP7 Project Learn PAd.
  6. Barbara Re, Andrea Sergiacomi, e. a. Demonstrators BP and Knowledge models. Deliverable D8.1 - EU FP7 Project Learn PAd.
  7. Basciani, F., Di Ruscio, D., Iovino, L., and Pierantonio, A. (2014). Automated chaining of model transformations with incompatible metamodels. In Model-Driven Engineering Languages and Systems, pages 602-618. Springer.
  8. Bézivin, J. (2005). On the unification power of models. Software & Systems Modeling, 4(2):171-188.
  9. Czarnecki, K., Foster, J. N., Hu, Z., Lämmel, R., Sch ürr, A., and Terwilliger, J. F. (2009). Bidirectional transformations: A cross-discipline perspective. In Theory and Practice of Model Transformations, pages 260- 283. Springer.
  10. Didonet Del Fabro, M., Bézivin, J., Jouault, F., and Valduriez, P. (2005). Applying Generic Model Management to Data Mapping. In Procs of the Journées Bases de Données Avancées (BDA05).
  11. Eramo, R., Pierantonio, A., and Rosa, G. (2015). Managing uncertainty in bidirectional model transformations. In Proceedings of the 2015 ACM SIGPLAN International Conference on Software Language Engineering, SLE 2015, pages 49-58, New York, NY, USA. ACM.
  12. Hay, D. C. (1997). The zachman framework: an introduction. essential strategies. Inc. The data Administration Newsletter, (1).
  13. Hinkelmann, K., Merelli, E., and Th önssen, B. (2010). The role of content and context in enterprise repositories. In Procs. 2nd International Workshop on Advanced Enterprise Architecture and Repositories - AER 2010.
  14. Inmon, W. H., Zachman, J. A., and Geiger, J. G. (1997). Data Stores, Data Warehousing and the Zachman Framework: Managing Enterprise Knowledge. McGraw-Hill, Inc.
  15. Laforcade, P. and Choquet, C. (2006). Next step for educational modeling languages: The model driven engineering and reengineering approach. In null, pages 745-747. IEEE.
  16. Lankhorst, M. M. (2004). Enterprise architecture modelling-the issue of integration. Advanced Engineering Informatics, 18(4):205-216.
  17. Oh, S. and Sandhu, R. (2002). A model for role administration using organization structure. In Proceedings of the seventh ACM symposium on Access control models and technologies, pages 155-162. ACM.
  18. Pereira, C. M. and Sousa, P. (2004). A method to define an enterprise architecture using the zachman framework. In Proceedings of the 2004 ACM symposium on Applied computing, pages 1366-1371. ACM.
  19. Pierantonio, A., Rosa, G., Silingas, D., Th önssen, B., and Woitsch, R. (2015). Metamodeling architectures for business processess in organizations. Projects Showcase@ STAF'15, page 27.
  20. Reiter, T., Kapsammer, E., Retschitzegger, W., and Schwinger, W. (2005). Model Integration Through Mega Operations. accepted for publication at the Workshop on Model-driven Web Engineering (MDWE2005).
  21. Tupper, C. (2011). Data architecture: from zen to reality. Elsevier.
  22. Yu, E., Strohmaier, M., and Deng, X. (2006). Exploring intentional modeling and analysis for enterprise architecture. In Enterprise Distributed Object Computing Conference Workshops, 2006. EDOCW'06. 10th IEEE International, pages 32-32. IEEE.
  23. Zachman, J. A. (2012). The Zachman Framework For Enterprise Architecture. A Primer For Enterprise Engineering And Manufacturing.
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Paper Citation


in Harvard Style

Basciani F. and Rosa G. (2016). A Learning Architecture for Complex Organization . In Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development - Volume 1: LMCO, (MODELSWARD 2016) ISBN 978-989-758-168-7, pages 734-742


in Bibtex Style

@conference{lmco16,
author={Francesco Basciani and Gianni Rosa},
title={A Learning Architecture for Complex Organization},
booktitle={Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development - Volume 1: LMCO, (MODELSWARD 2016)},
year={2016},
pages={734-742},
publisher={SciTePress},
organization={INSTICC},
doi={},
isbn={978-989-758-168-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development - Volume 1: LMCO, (MODELSWARD 2016)
TI - A Learning Architecture for Complex Organization
SN - 978-989-758-168-7
AU - Basciani F.
AU - Rosa G.
PY - 2016
SP - 734
EP - 742
DO -