scholarly journals Query containment for data integration systems

2003 ◽  
Vol 66 (1) ◽  
pp. 20-39 ◽  
Author(s):  
Todd Millstein ◽  
Alon Halevy ◽  
Marc Friedman
Author(s):  
Marek Smid

Geospatial data sources are heterogeneous and backed by different data management technologies. This brings problems in data integration as well as their subsequent interpretation. This article proposes a technique for choosing the relevant data source out of many such sources, given a complex spatial query. Each source is described with a set of prototypical queries that are algorithmically arranged into a lattice. Upon query execution, the lattice is searched for an element matching best the input query. The matching algorithm makes use of the GeoSPARQL query containment enhanced with OWL 2 QL semantics. The technique is implemented in a prototypical system called OnGIS.


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