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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Seo-Young Noh Gadia, S.K. |
| Copyright Year | 2007 |
| Description | Author affiliation: LG Electron. Inst. of Technol., Seoul (Seo-Young Noh) |
| Abstract | Data arising in real world applications have space and time dimensions that require database support. Because of this there is growing attention on spatiotemporal databases. In this paper, we introduce two temporal data models extendable to spatiotemporal data ones - point-based and temporal element-based data models. Our goal is to understand which data model is less complex than the other when space dimension is incorporated into the data models. To this end, we compare two query languages for the data models in spatiotemporal context - $SQL^{ST}$ and ParaSQL. Since query languages are tightly coupled to their underlying data models, their complexity is influenced by their data models. We use Guting's use case in our comparison and show that ParaSQL is less complex than $SQL^{ST};$ suffice to say that the temporal, element-based data model is more user-friendly extendible to spatiotemporal data models if data has similar properties to Guting's use case. |
| Starting Page | 241 |
| Ending Page | 246 |
| File Size | 1203851 |
| Page Count | 6 |
| File Format | |
| ISBN | 0769527779 |
| DOI | 10.1109/MUE.2007.215 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-04-26 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer science Space technology Laboratories Relational databases Data models Spatial databases Spatiotemporal phenomena Application software Database languages Monitoring |
| Content Type | Text |
| Resource Type | Article |
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