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

Hyeonsook Kim; Ying Zhang; Samia Oussena; Tony Clark

doi:10.1145/1651309.1651311

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/Published conference output › Conference 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 language	English
Title of host publication	DSMM '09 Proceedings of the ACM first international workshop on Data-intensive software management and mining
Publisher	ACM
Pages	1-6
ISBN (Print)	978-1-60558-810-0
DOIs	https://doi.org/10.1145/1651309.1651311
Publication status	Published - 6 Nov 2009
Event	Proceeding of the ACM first international workshop - Hong Kong, China Duration: 6 Nov 2009 → 6 Nov 2009

Conference

Conference	Proceeding of the ACM first international workshop
Period	6/11/09 → 6/11/09

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10.1145/1651309.1651311

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title = "A case study on model driven data integration for data centric software development",

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.",

author = "Hyeonsook Kim and Ying Zhang and Samia Oussena and Tony Clark",

year = "2009",

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doi = "10.1145/1651309.1651311",

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booktitle = "DSMM '09 Proceedings of the ACM first international workshop on Data-intensive software management and mining",

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note = "Proceeding of the ACM first international workshop ; Conference date: 06-11-2009 Through 06-11-2009",

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AU - Oussena, Samia

AU - Clark, Tony

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N2 - 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.

AB - 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.

UR - https://dl.acm.org/citation.cfm?doid=1651309.1651311

U2 - 10.1145/1651309.1651311

DO - 10.1145/1651309.1651311

M3 - Conference publication

SN - 978-1-60558-810-0

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EP - 6

BT - DSMM '09 Proceedings of the ACM first international workshop on Data-intensive software management and mining

PB - ACM

T2 - Proceeding of the ACM first international workshop

Y2 - 6 November 2009 through 6 November 2009

ER -

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

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