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arXiv · 1103.0172

Inverse Queries For Multidimensional Spaces

Thomas Bernecker·Tobias Emrich·Hans-Peter Kriegel·Nikos Mamoulis·Matthias Renz·Shiming Zhang·Andreas Züfle
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Abstract

Traditional spatial queries return, for a given query object $q$, all database objects that satisfy a given predicate, such as epsilon range and $k$-nearest neighbors. This paper defines and studies {\em inverse} spatial queries, which, given a subset of database objects $Q$ and a query predicate, return all objects which, if used as query objects with the predicate, contain $Q$ in their result. We first show a straightforward solution for answering inverse spatial queries for any query predicate. Then, we propose a filter-and-refinement framework that can be used to improve efficiency. We show how to apply this framework on a variety of inverse queries, using appropriate space pruning strategies. In particular, we propose solutions for inverse epsilon range queries, inverse $k$-nearest neighbor queries, and inverse skyline queries. Our experiments show that our framework is significantly more efficient than naive approaches.

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Thomas Bernecker, Tobias Emrich, Hans-Peter Kriegel, Nikos Mamoulis, Matthias Renz, Shiming Zhang, Andreas Züfle. 2011-05-05. Inverse Queries For Multidimensional Spaces. https://arxiv.org/abs/1103.0172

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