A major aim of the Web service platform is the integration of existing software and information systems. Data integration is a central aspect in this context. Traditional techniques for information and data transformation are, however, not sufficient to provide flexible and automatable data integration solutions for Web and Cloud service-enabled information systems. The difficulties arise from a high degree of complexity in data structures in many applications and from the additional problem of heterogeneity of data representation in applications that often cross organisational boundaries. We present an integration technique that embeds a declarative data transformation technique based on semantic data models as a mediator service into a Web service-oriented information system architecture. Automation through consistency-oriented semantic data models and flexibility through modular declarative data transformations are the key enablers of the approach. Automation is needed to enable dynamic integration and composition. Modifiability is another aim here that benefits from consistency and modularity.
Publié le : 2013-01-24
Classification:
Data integration, service architecture, cloud integration, semantic data modelling, mediated architecture, declarative data transformation
@article{cai1301,
author = {Claus Pahl; Dublin City University, School of Computing, Dublin 9 and Yaoling Zhu; Dublin City University, School of Computing, Dublin 9},
title = {Data Integration in Mediated Service Compositions},
journal = {Computing and Informatics},
volume = {31},
number = {6},
year = {2013},
language = {en},
url = {http://dml.mathdoc.fr/item/cai1301}
}
Claus Pahl; Dublin City University, School of Computing, Dublin 9; Yaoling Zhu; Dublin City University, School of Computing, Dublin 9. Data Integration in Mediated Service Compositions. Computing and Informatics, Tome 31 (2013) no. 6, . http://gdmltest.u-ga.fr/item/cai1301/