article · 2007
Spatiotemporal Queries in Database Systems
Position Paper For, Carlo Zaniolo
Cited by 0Abstract and details only
Abstract
systems. Indeed, the ine#ectiveness of state-of-the-art Object Relational Systems in supporting data mining applications is well-documented [4]. This dismal situation calls for a critical reevaluation of current approaches, objectives, and assumptions. In my view, the best that can be realistically expected, for the short term or mediumterm, is database systems supporting data models and query languages that are significantly more powerful and extensible than the current ones. These improved database systems will provide domain scientists with better tools and more flexible database environments to write complex spatio-temporal queries, and data-intensive applications. (Examples of some concrete steps in this direction are discussed below.) 1 In my view, however, domain scientists cannot reasonably hope for built-in spatiotemporal data models and query languages that will provide ready-made solutions for organizing and querying their scientific data. The complexity and diversity of
Cite this paper
For, P. P., & Zaniolo, C. (2007). Spatiotemporal Queries in Database Systems.
For, Position Paper, and Carlo Zaniolo. “Spatiotemporal Queries in Database Systems.” 2007.
For, Position Paper, and Carlo Zaniolo. 2007. “Spatiotemporal Queries in Database Systems.”
For, P.P. and Zaniolo, C. (2007) ‘Spatiotemporal Queries in Database Systems’.
@article{for2007spatiotemporal,
title = {{Spatiotemporal Queries in Database Systems}},
author = {For, Position Paper and Zaniolo, Carlo},
year = {2007}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.