Spatio-Temporal and Constraint Databases

Dear Colleagues,

During the last three decades, the topic of constraint databases has evolved into a mature area of computer science with sound mathematical foundations and with a profound theoretical understanding of the expressive power of a variety of query languages. Constraint databases are especially suited for applications in which possibly infinite sets of continuous data, which have a geometric interpretation, need to be stored in a computer. Today, the most important application domains of constraint databases are geographic information systems (GIS), spatial databases, and spatiotemporal databases. In these applications, infinite geometrical sets of continuous data are finitely represented by means of finite combinations of polynomial equality and inequality constraints that describe these data sets (in mathematical terms, these geometrical data sets are known as semi-algebraic sets, and they have been extensively studied in real algebraic geometry). On the other hand, constraint databases provide us with a new view on classic (linear and non-linear) optimization theory.

For this Special Issue, we encourage authors to address the topic of spatiotemporal data from either a theoretical or an applications perspective. We especially welcome papers that use spatiotemporal data in the context of constraint databases.

Topics include but are not limited to:

• Spatiotemporal data and databases;
• Trajectory data and databases;
• Uncertainty in spatiotemporal data;
• Query evaluation techniques;
• Query optimization;
• Linear constraint spatiotemporal data;
• Non-linear constraint spatiotemporal data;
• Constraints-based data visualization;
• Data mining spatiotemporal data.

Prof. Dr. Bart Kuijpers
Prof. Dr. Peter Revesz
Guest Editors

Manuscript Submission Information

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