A variety of application areas involve spatial and temporal data. Spatial data is used in GIS, logistics, CAD/CAM, robotics and medical imaging to name a few. Systems in financial markets, inventory management, professional sports, consumer research and payroll regularly use historical or temporal data. Within these kinds of systems, spatial and temporal integrity constraints are of key importance. Modeling business rules in traditional applications has strongly been advocated.
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