A case study on model driven data integration for data centric software development.

HYENSOOK, Kim, ZHANG, Ying, OUSSENA, Samia and CLARK, Tony (2009). A case study on model driven data integration for data centric software development. In: DSMM '09 : Proceedings of the ACM first international workshop on Data-intensive software management and mining, November 6th, 2009, Hong Kong. New York, ACM, 1-6.

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Link to published version:: https://doi.org/10.1145/1651309.1651311

Abstract

Model Driven Data Integration is a data integration approach that proactively incorporates and utilizes metadata across the data integration process. By decoupling data and metadata, MDDI drastically reduces complexity of data integration; whilst also providing an integrated standard development method, which is associated with Model Driven Architecture. This paper introduces a case study to adopt MDA technology as an MDDI framework for data centric software development; including data merging and data customization for data mining. A data merging model is also proposed to define relationships between different models at a conceptual level which is then transformed into a physical model. In this case study we collect and integrate historical data from various universities into the Data Warehouse system in order to develop student intervention services through data mining.

Item Type: Book Section
Additional Information: Workshop was part of the CIKM '09 Conference on Information and Knowledge Management , Hong Kong, China, November 2-6 2009.
Research Institute, Centre or Group - Does NOT include content added after October 2018: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Computing
Identification Number: https://doi.org/10.1145/1651309.1651311
Page Range: 1-6
Depositing User: Tony Clark
Date Deposited: 12 Apr 2016 15:09
Last Modified: 18 Mar 2021 18:15
URI: https://shura.shu.ac.uk/id/eprint/11965

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