Abstract | ||
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In this paper, we demonstrate our results of designing and implementing spatiotemporal pattern queries. That is, one can specify temporal order constraints on the fulfillment of predicates on moving objects. Compared with other approaches, our approach is not restricted in terms of the types of moving object or the sets of predicates. Our work covers the language integration in SQL, the evaluation of the queries, and the integration with the query optimizer. We provide a complete implementation in C++ and Prolog in the context of the SECONDO platform. The implementation is made publicly available online as a SECONDO Plug in We have also made available automatic scripts for executing the examples in this demonstration. |
Year | DOI | Venue |
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2010 | 10.1109/MDM.2010.60 | Mobile Data Management |
Keywords | Field | DocType |
application software,trajectory,database systems,mobile computing,sql,prolog,geometry,optimization,kernel,query optimization,storms,query optimizer | Kernel (linear algebra),Query optimization,SQL,Computer science,Prolog,Plug-in,Trajectory,Database,Scripting language,Spatiotemporal pattern | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mahmoud Attia Sakr | 1 | 10 | 1.93 |
Ralf Hartmut Güting | 2 | 2270 | 360.80 |