The homomorphism property in query containment and data integration

2019 ◽  
Author(s):  
Foto N. Afrati
Keyword(s):  
Data Integration ◽  
Query Containment

OnGIS

2019 ◽  
Vol 15 (1) ◽  
pp. 1-20
Author(s):  
Marek Smid
Keyword(s):  
Data Integration ◽  
Data Management ◽  
Geospatial Data ◽  
Data Sources ◽  
Query Execution ◽  
Spatial Query ◽  
Matching Algorithm ◽  
Query Containment ◽  
Data Source

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.

scholarly journals Query containment for data integration systems

2003 ◽  
Vol 66 (1) ◽  
pp. 20-39 ◽  
Author(s):  
Todd Millstein ◽  
Alon Halevy ◽  
Marc Friedman
Keyword(s):  
Data Integration ◽  
Query Containment
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