Engineering XML solutions using views
In industrial informatics, engineering data intensive Enterprise Information Systems (EIS) is a challenging task without abstraction and partitioning. Further, the introduction of semi-structured data (namely XML) and its rapid adaptation by the commercial and industrial systems increased the comple...
| Main Authors: | , , , |
|---|---|
| Format: | Conference Paper |
| Published: |
IEEE
2005
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/4429 |
| _version_ | 1848744512935952384 |
|---|---|
| author | Rajugan Chang, Elizabeth Dillon, Tharam S. Feng, L. |
| author_facet | Rajugan Chang, Elizabeth Dillon, Tharam S. Feng, L. |
| author_sort | Rajugan |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In industrial informatics, engineering data intensive Enterprise Information Systems (EIS) is a challenging task without abstraction and partitioning. Further, the introduction of semi-structured data (namely XML) and its rapid adaptation by the commercial and industrial systems increased the complexity for data engineering. Conversely, the introduction of OMG's MDA presents an interesting paradigm for EIS and system modelling, where a system is designed at a higher level of abstraction. This presents an interesting problem to investigate data engineering XML solutions under the MDA initiatives, where, models and framework requires higher level of abstraction. In this paper we investigate a view model that can provide layered design methodology for modelling data intensive XML solutions for EIS paradigm, with sufficient level of abstraction. |
| first_indexed | 2025-11-14T06:02:39Z |
| format | Conference Paper |
| id | curtin-20.500.11937-4429 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:02:39Z |
| publishDate | 2005 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-44292017-01-30T10:39:02Z Engineering XML solutions using views Rajugan Chang, Elizabeth Dillon, Tharam S. Feng, L. MDA modelling data EIS XML enterprise information systems In industrial informatics, engineering data intensive Enterprise Information Systems (EIS) is a challenging task without abstraction and partitioning. Further, the introduction of semi-structured data (namely XML) and its rapid adaptation by the commercial and industrial systems increased the complexity for data engineering. Conversely, the introduction of OMG's MDA presents an interesting paradigm for EIS and system modelling, where a system is designed at a higher level of abstraction. This presents an interesting problem to investigate data engineering XML solutions under the MDA initiatives, where, models and framework requires higher level of abstraction. In this paper we investigate a view model that can provide layered design methodology for modelling data intensive XML solutions for EIS paradigm, with sufficient level of abstraction. 2005 Conference Paper http://hdl.handle.net/20.500.11937/4429 IEEE fulltext |
| spellingShingle | MDA modelling data EIS XML enterprise information systems Rajugan Chang, Elizabeth Dillon, Tharam S. Feng, L. Engineering XML solutions using views |
| title | Engineering XML solutions using views |
| title_full | Engineering XML solutions using views |
| title_fullStr | Engineering XML solutions using views |
| title_full_unstemmed | Engineering XML solutions using views |
| title_short | Engineering XML solutions using views |
| title_sort | engineering xml solutions using views |
| topic | MDA modelling data EIS XML enterprise information systems |
| url | http://hdl.handle.net/20.500.11937/4429 |