Approximating Data in Constraint Databases

  • Authors:
  • Rui Chen;Min Ouyang;Peter Z. Revesz

  • Affiliations:
  • -;-;-

  • Venue:
  • SARA '02 Proceedings of the 4th International Symposium on Abstraction, Reformulation, and Approximation
  • Year:
  • 2000

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Abstract

Approximate representation of any spatio-temporal variable, by some interpolation function, is necessary when it is measured only sporadically. This paper argues that the approximate representation can be captured by a constraint database. Since constraint databases can be queried via standard query languages - such as relational algebra, SQL and Datalog - this provides an immediate benefit for flexible querying of the data. We propose a concrete system that implements a version of this approach. We also add beyond the standard queries new ones like cartogram similarity queries and an advanced graphical user interface with 3-D animation of GIS-based data.