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

Hyeonsook Kim, Ying Zhang, Samia Oussena, Tony Clark

Research output: Chapter in Book/Report/Conference proceedingConference publication

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.
Original languageEnglish
Title of host publicationDSMM '09 Proceedings of the ACM first international workshop on Data-intensive software management and mining
PublisherACM
Pages1-6
ISBN (Print)978-1-60558-810-0
DOIs
Publication statusPublished - 6 Nov 2009
EventProceeding of the ACM first international workshop - Hong Kong, China
Duration: 6 Nov 20096 Nov 2009

Conference

ConferenceProceeding of the ACM first international workshop
Period6/11/096/11/09

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