Document Type

Conference Proceeding

Publisher

IEEE, NJ, USA

Faculty

Computing, Health and Science

School

Computing, Health and Science

RAS ID

4628

Comments

This conference paper was originally published as: Chirathamjaree, C. (2006). An Approach to Resolve Data Model Heterogeneities in Multiple Data Sources. Proceedings of TENCON 2006 IEEE REGION 10 CONFERENCE. (pp. 1-4). Hong Kong. IEEE, NJ, USA. Original article available here

© 2006 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Abstract

To gain a competitive advantage, it is imperative for executives to be able to obtain one unique view of information, normally scattered across disparate data sources, in an accurate and timely manner. To interoperate data sources which differ structurally and semantically, particular problems occur, for example, problems of changing schema in data sources affect the integrated schema. This paper presents an approach to resolve data model heterogeneities in databases and legacy systems through mediation and wrapping techniques. The system is well supported by the mediated data model (MDM), a semantically-rich data model which can describe and represent heterogeneous data schematically and semantically

DOI

10.1109/TENCON.2006.343819

Access Rights

free_to_read

 
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Link to publisher version (DOI)

10.1109/TENCON.2006.343819