Synonyms
Linear constraint databases; First-order logic with constraints queries
Definition
The framework of constraint databases provides a rather general model for spatial databases [14]. In the constraint model, a spatial database contains a finite number of relations, that, although conceptually viewed as possibly infinite sets of points in the real space, are represented as a finite union of systems of polynomial equations and inequalities.
More specifically, in the polynomial constraint database model, a relation is defined as a boolean combination (union, intersection, complement) of subsets of some real space ℝn (in applications, typically n = 2 or 3) that are definable by polynomial constraints of the form p(x 1, …, x n ) ≥ 0, where p is a polynomial in the real variables x 1, …, x n with integer coefficients. For example, the spatial relation consisting of the set of points in the upper half of the unit disk in ℝ2 can be represented by the formula x 2 + y 2≤ 1 ⋀y≥ 0. In...
Recommended Reading
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Benedikt, M., Dong, G., Libkin, L., Wong, L.: Relational expressive power of constraint query languages. J. ACM 45(1), 1–34 (1998)
Benedikt, M., Keisler, H.J.: Definability over linear constraints. In: Clote, P., Schwichtenberg, H. (eds.) Proceedings of Computer Science Logic, 14th Annual Conference of the EACSL. Lecture Notes in Computer Science, vol. 1862, pp. 217–231, Springer-Verlag, Heidelberg (2000)
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Grumbach, S., Rigaux, P., Scholl, M., Segoufin, L.: DEDALE, a spatial constraint database. In: Cluet, S., Hull, R. (eds.) Proceedings of the 6th International Workshop on Database Programming Languages (DBPL), Lecture Notes in Computer Science, vol. 1369, pp. 38–59. Springer, Berlin (1998)
Grumbach, S., Rigaux, P., Segoufin, L.: The DEDALE system for complex spatial queries. In: Proceedings of the 23th ACM International Conference on Management of Data (SIGMOD), pp. 213–224. ACM Press (1998)
Grumbach, S., Su, J., Tollu, C.: Linear constraint query languages: expressive power and complexity. In: Leivant, D. (ed.) Logic and Computational Complexity. Lecture Notes in Computer Science, vol. 960, pp. 426–446, Springer-Verlag, Heidelberg (1995)
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Kuijpers, B. (2008). Linear Versus Polynomial Constraint Databases. In: Shekhar, S., Xiong, H. (eds) Encyclopedia of GIS. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35973-1_696
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