OnGIS
2019 ◽
Vol 15
(1)
◽
pp. 1-20
Keyword(s):
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.
Keyword(s):
Keyword(s):
Keyword(s):
2016 ◽
Vol 12
(1)
◽
pp. 1-22
◽
Keyword(s):
2015 ◽
Vol 8
(2)
◽
pp. 187-203
◽
2018 ◽
Vol 3
(2)
◽
pp. 162
Keyword(s):
2013 ◽
Vol 655-657
◽
pp. 1730-1733
2020 ◽
Vol 20
(S4)
◽
Keyword(s):
Keyword(s):
2011 ◽
Vol 7
(2)
◽
pp. 29-47
◽
Keyword(s):