MODELLING DATA TRANSFORMATION PROCESSES USING HIGH-LEVEL PETRI NETS

Li Peng

2007

Abstract

Data heterogeneity is one of the key problems in integrating multiple data sources, data warehousing, legacy data migration, etc. For integrating databases or information systems, the data need to be transformed from a source representation into a target representation. The foundation for developing efficient data transformation tools and automating data transformation processes is a data transformation process model. In this paper, I propose a CPN based data transformation process model. This model provides rich constructs to represent various data structures, transformation functions and rules; allows parallelization, composition and decomposition of data transformations. Furthermore, as the extension of the model, the CPNs are combined with higher-order Petri nets. The components of the CPNs can be reused. This improves the efficiency of data transformations.

Paper Citation

in Harvard Style

Peng L. (2007). MODELLING DATA TRANSFORMATION PROCESSES USING HIGH-LEVEL PETRI NETS . In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 978-972-8865-90-0, pages 533-536. DOI: 10.5220/0002372405330536

in Bibtex Style

@conference{iceis07,
author={Li Peng},
title={MODELLING DATA TRANSFORMATION PROCESSES USING HIGH-LEVEL PETRI NETS},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 3: ICEIS,},
year={2007},
pages={533-536},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002372405330536},
isbn={978-972-8865-90-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - MODELLING DATA TRANSFORMATION PROCESSES USING HIGH-LEVEL PETRI NETS
SN - 978-972-8865-90-0
AU - Peng L.
PY - 2007
SP - 533
EP - 536
DO - 10.5220/0002372405330536