Spatiotemporal Pattern Queries

Capturing moving objects data is now possible and becoming cheaper with the advances in the positioning and sensor technologies. The increasing amount of such data and the various fields of applications call for intensive research work for building a spatiotemporal DBMS. This involves several aspects such as modeling the moving objects data, designing query methods, query optimization, ...etc. This PhD project goes in this direction. Our goal is to design and implement a language for the Spatiotemporal Pattern Queries (STP queries). This includes the design of an expressive query language, the integration with the query optimizers for efficient evaluation, and the implementation within the context of a spatiotemporal DBMS. The STPs can be either individual or group according to the number of objects composing the pattern. Our work covers both types. We have already completed a solution for the individual STP queries. Currently we are working in group STP queries.