A Model Comparison for Spatiotemporal Data in Ubiquitous Environments: A Case Study

Seo-Young Noh and Shashi K. Gadia
Volume: 7, No: 4, Page: 635 ~ 652, Year: 2011
10.3745/JIPS.2011.7.4.635
Keywords: Parametric Data Model, Model Comparison, ParaSQL, Spatiotemporal Data
Full Text:

Abstract
In ubiquitous environments, many applications need to process data with time and space dimensions. Because of this, there is growing attention not only on gathering spatiotemporal data in ubiquitous environments, but also on processing such data in databases. In order to obtain the full benefits from spatiotemporal data, we need a data model that naturally expresses the properties of spatiotemporal data. In this paper, we introduce three spatiotemporal data models extended from temporal data models. The main goal of this paper is to determine which data model is less complex in the spatiotemporal context. To this end, we compare their query languages in the complexity aspect because the complexity of a query language is tightly coupled with its underlying data model. Throughout our investigations, we show that it is important to intertwine space and time dimensions and keep one-to-one correspondence between an object in the real world and a tuple in a database in order to naturally express queries in ubiquitous applications.

Article Statistics
Multiple requests among the same broswer session are counted as one view (or download).
If you mouse over a chart, a box will show the data point's value.


Cite this article
IEEE Style
Seo-Young Noh and Shashi K. Gadia, "A Model Comparison for Spatiotemporal Data in Ubiquitous Environments: A Case Study," Journal of Information Processing Systems, vol. 7, no. 4, pp. 635~652, 2011. DOI: 10.3745/JIPS.2011.7.4.635.

ACM Style
Seo-Young Noh and Shashi K. Gadia, "A Model Comparison for Spatiotemporal Data in Ubiquitous Environments: A Case Study," Journal of Information Processing Systems, 7, 4, (2011), 635~652. DOI: 10.3745/JIPS.2011.7.4.635.