Introduction to data modeling
dc.contributor.author | Sidhu, Amandeep | |
dc.contributor.author | Chen, J. | |
dc.date.accessioned | 2017-01-30T11:05:16Z | |
dc.date.available | 2017-01-30T11:05:16Z | |
dc.date.created | 2008-11-12T23:36:19Z | |
dc.date.issued | 2007 | |
dc.identifier.citation | Sidhu, Amandeep S. and Chen, Jake. 2007. Introduction to data modeling, in Chen, J. and Amandeep, S. (ed), Biological database modeling, pp 1-8. Norwood, MA: Artech House. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/8217 | |
dc.description.abstract |
Scientific data is often scattered among heterogeneous data repositories. Exploring data across multiple data repositories requires the ability to understand and correlate their structures (schemas). Such correlations need to address the diversity of views of the scientific domain represented by different data repositories as well as the diversity of data modeling languages used for expressing these views. In this chapter, we introduce the concepts of data modeling and discuss its application to biological databases. | |
dc.publisher | Artech House | |
dc.title | Introduction to data modeling | |
dc.type | Book Chapter | |
dcterms.source.startPage | 1 | |
dcterms.source.endPage | 8 | |
dcterms.source.title | Biological database modeling | |
dcterms.source.place | Norwood, MA, USA | |
dcterms.source.chapter | 1 | |
curtin.department | Centre for Extended Enterprises and Business Intelligence | |
curtin.identifier | EPR-2380 | |
curtin.accessStatus | Open access | |
curtin.faculty | Curtin Business School | |
curtin.faculty | School of Information Systems |