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galbiston pushed a commit to branch master
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The following commit(s) were added to refs/heads/master by this push:
new c768735 Updated broken OGC URL and minor text changes.
c768735 is described below
commit c768735c8a16081c2862b3968500152ba8442f0b
Author: GregAlbo <[email protected]>
AuthorDate: Sat Jan 30 20:23:28 2021 +0000
Updated broken OGC URL and minor text changes.
---
source/documentation/geosparql/__index.md | 7 +++----
1 file changed, 3 insertions(+), 4 deletions(-)
diff --git a/source/documentation/geosparql/__index.md
b/source/documentation/geosparql/__index.md
index 5fbb7ca..c940467 100644
--- a/source/documentation/geosparql/__index.md
+++ b/source/documentation/geosparql/__index.md
@@ -5,10 +5,10 @@ slug: index
An implementation of GeoSPARQL 1.0 standard for SPARQL query or API.
-An [integration with Fuseki](geosparql-fuseki) is available.
+An [integration with Fuseki](geosparql-fuseki) is available but attention
should be paid to the contents of this page to understand supported features.
## Features
-This implementation follows the 11-052r4 OGC GeoSPARQL standard
(http://www.opengeospatial.org/standards/geosparql).
+This implementation follows the 11-052r4 OGC GeoSPARQL standard
(https://www.ogc.org/standards/geosparql).
The implementation is pure Java and does not require any set-up or
configuration of any third party relational databases and geospatial extensions.
It implements the six Conformance Classes described in the GeoSPARQL document:
@@ -28,11 +28,10 @@ and registering with Jena's
`org.apache.jena.datatypes.TypeMapper`.
All three spatial relation families are supported: _Simple Feature_,
_Egenhofer_ and _RCC8_.
Indexing and caching of spatial objects and relations is performed _on-demand_
during query execution.
-Therefore, set-up delays should be minimal.
+Therefore, set-up delays should be minimal. Spatial indexing is available
based on the _STRtree_ from the JTS library. The _STRtree_ is readonly once
built and contributions of a _QuadTree_ implementation are welcome.
Benchmarking of the implementation against Strabon and Parliament has found it
to be comparable or quicker.
The benchmarking used was the Geographical query and dataset
(http://geographica.di.uoa.gr/).
-Publication of the benchmarking results are forthcoming.
## Additional Features
The following additional features are also provided:
