Search

Spatio-temporal database is a new type of database that manages spatio-temporal objects and supports corresponding query languages. Term moving objects databases is today used as a synonym for spatiotemporal databases managing spatial objects with continuously changing location and/or extend. DSMS (Data Stream Management System) is an extension of a DBMS (Database Management System) that efficiently manages potentially unbound data streams as well as standard relations and supports continuous queries in addition to standard one-time queries. By combining these two systems, we get a system that manages moving objects whose position is determined by one or more data streams. In this paper we present a data model consisting of data types and operations needed to support spatio-temporal data in data streams. Defined data model is illustrated through an SQL-like query language.

Spatio-temporal database is a new type of database that manages spatio-temporal objects and supports corresponding query languages. If position and/or extent of an objects changes continuously, we talk about moving object database. A moving objects database supports a number of data types that could be termed moving. Standard and spatial operations on non-moving data types can be applied to moving data types through a process called temporal lifting. In this paper, an implementation of spatio-temporal data types based on Java extended with parametric polymorphism is explored. A framework for implementing moving data types is presented, with emphasis on the concept of temporal lifting and implementation of lifted operations using Java genericity capabilities.