Author:
Li Peng
Affiliation:
Software School, Hunan University, China
Keyword(s):
Data heterogeneity, data transformation, process model, coloured Petri net, higher-order Petri net.
Related
Ontology
Subjects/Areas/Topics:
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Modeling Concepts and Information Integration Tools
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.