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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sadiq, S. Xiaofang Zhou Orlowska, M. |
| Copyright Year | 2007 |
| Description | Author affiliation: Univ. of Queensland, St. Lucia (Sadiq, S.; Xiaofang Zhou; Orlowska, M.) |
| Abstract | As the scale and diversity of data grows in the digital arena, the complexities of data driven engineering grow multifold with it. The last several years have brought forth several new technologies to service this need - semantic Web, grid systems, Web service composition to mention a few. However, a fundamental underpinning of the success of these technologies resides in the quality of data that they can provide. Often the failure of a technology is attributed to its functionality when the real problem lies in the quality of data it uses and subsequently produces. In this paper, we highlight a need to embrace data quality considerations in all aspects of data driven engineering. |
| Starting Page | 48 |
| Ending Page | 56 |
| File Size | 296789 |
| Page Count | 9 |
| File Format | |
| ISBN | 9780769529431 |
| DOI | 10.1109/NPC.2007.176 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-09-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Semantic Web Costs Web services Humans Bismuth Parallel processing Data engineering Enterprise resource planning Information technology Customer profiles |
| Content Type | Text |
| Resource Type | Article |
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