diff --git a/diagrams/SAREF4WATR examples.drawio b/diagrams/SAREF4WATR examples.drawio
index 8ef1a747f51bc7f4fe65ba395060734c6aae0816..19b94f535956b475570e064c104dea660989e1cf 100644
--- a/diagrams/SAREF4WATR examples.drawio
+++ b/diagrams/SAREF4WATR examples.drawio
@@ -1 +1,1711 @@
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 7V1td5o8GP41ftSTF8LLR1u7dc/a86ybz7ruy06qUVmROMBp9+ufoEGBRKqdIFo9Ow4iJCT3fee67otAG/hyPH8f0MnolveZ10CgP2/gTgMhCC0k/otLnmWJ4eBlyTBw+7JsXfDF/cNkIZClU7fPwsyBEede5E6yhT3u+6wXZcpoEPBZ9rAB97KtTuiQKQVfetRTS+/dfjRKOmY66x+umTscyaZtZC1/GNPkYNmTcET7fJYqwlcNfBlwHi23xvNL5sWjl4xLj/+wPl9dX/c+/rjhg3/wx88ANJeVvdvllFUXAuZH+63akF2LnpPxYn0xfHKXB9GID7lPvat16UXAp36fxbUCsTeKxp7YhGLzJ4uiZ+kBdBpxUbSu4YbziTwujAL+tLJGXDLgfpQ0CpL9ZUUQi/3fLIhcYdO25w59UTh2+/3FtbC5G32TJ8XbD/F2i8i9zjz1U+c52fGj4PmbbHmxkzor3l2ftthLztvSCtJaIZ8GPVZwnPS/iAZDltT3+M148GdW6N+zYHRPRhefRtKqILZLyqOljd8zPmbiIsUBAfNo5P7Ouj2V0TNcHbc69RN3RT8QkKGOHNIypTvIWG8ahpmtZtkpeWba13KVQRO8XNmy50plYiPVr3XRwp13cG2ybO039aZyTEJjRqOggdt0MvFcFna54v0Rm0dZpw5Y6P6hjyvXnMTXu+gBuWiQjiih0il7wi9YUOStHn1k3gXtPQ0XMXTJPR4s2sWDxUfj+Vs6nRzruGU2z3iAnFdlDzJTV8Z95FlN0ILCFbKmkxjwlx7WNFvZeiHJVsEHg5CV4guO4gvxKLVvmTCYYWPr7h4i3KWBK2yQd4nsdDcbuRH7MqGL0J4JzMx6S/HUZuwytSluFYpWXX94wwaxJ6CdZyTFOTY6AYa2JnzlRDRboygC8qBRCkAR2ewYGbvuasSEUegi+pL74XQ8iVzuX9CQ9cux5bIkFbZg8Ymt6npeqrxPmT3ovQLYohgkq7WrSSq0awHAFQfnOSwRMqwW3CIqIQEVWg8q1lsF5T0VI7Qw4zkQX7ZkEphVWPIe4M58xH/O3jlj6+7Xw4/rp8skDo83F0h4fYrKP6Rp/gZev8ohVnnDQ+oXfQ6xm2O8mAsk0JZOBrQ2kkys7GQAOkgBCmTkqtk2GTCIWhkEdray/SUD2nErmKUGPPjKvemYpTiEEglHkBcUxXS98wLHahlO+pNpBVrZCveSJRQFV8pJGsj8NY31nQtHoAsCnsCpIFyXlslKdpr7SmOMtqoKENNWkMoqCaisx6e7jzePtx38+L153exi3qGnA1Q7ClB6oIJVApVGtNKaqCKc0iU0OO932+IUdkjLdvKV5a5pfzilHbcCnBrR8ItoPeq6YxZGdDw5RpAqiud6g5Sg7ADmSAxuGSVgU1FAabEJAeg0geg97MY5UDv5SsEUaJAr8W8eijbafZGXxV508ugFgaHkWZhYLVXxgAm5TQMYBiUBmHkGsLoDmH04AEPmHgEMmdUCmFUIYBeu57n+sCMmoJNBL/MY0Is4LccGqU8+H4ctkqu1PCyzC7EMgSbATQy7SBihTZzl1xnLdFgGyMGxDKrMJIrtgdudaUC1YkrFpilXyrW091QMnV1AlUkyVG+ZHCnJAIJ4oyzRMGy8JdVIyMXWC0M+sUC47wJNDsk/knvjZRMQYjmam0qw9UoKYhOjZTgWNMRW/J1Ppx0rX3PZCXWyMkJPSGJr8/7JcJEk6GtNRtCaa6zoh92yy1gMUhha+RvO//rsgdGgTLja5k7zAeAKO1XC1VXTff/97gN/+Ipm4Yfr5tPj5+vT0XRXQLJbSpzFKVQMVK/HpMKASIOS1kgVqbq28EfFRy3ndYhkEVNJiglCZYGQdtxUVVdSZH86FgDU28iUjwCHiqK51jAEHQWGsJ1nJ3tBoaJY0ibBMJXupnNd1nPH1CsToGqS6gKkWR+jBSm4IpSVwBRWrCYjucvGEx5Q7z/fjQ5toHIZhN46qA7WOfqnGfZKIqx6kgizIhKBNIktyt2v2/p5BoitlrPOa3EON0hOXSuZT6gJjJyFpmL26T5PjlJcL4roWhOJZpZFGKA6EmEWOcLpJ7N6KAJa8bViKFLvg715VRwj7d2KSmUG+8wQtpbDX08QtlW+9clyRQ886pRvLOaTcpRvRJTccgNJaAcBfU4dJoF5cz9MHdGxCi9Wdw6y7Vx4La9kr4ClPoinWR5wvKJ80ZxTaw6TPOYva0XKDaDyOIzmsb5Ejr8VAz46bQqjBUoADg6UECrj/paRsjRBvjAkXsZKXA1W6hR5bOSS3r9R5LGNtwLHvU06qvx64pI83DQ11QmGDqzJQ1XePYvyRbk2xlqkqjjX1qzxOKvyi6B0amEecqYSVcjyf0klrIqohEaXR/nFP3vS5RHMXV7ZrKJQjz0pYX61iKrOdOKAyjzcKADHrvAGEls9IJlaCbhqQFIfQHjz4rwJ4eE1B+dMFOquzieTcOnqPNSp2rmXhmytzZuF2jwxjJpr88QyctFVgjaPVCE2Lc6fniKS3IyoM4Uhds4TzAqXKKrrVhfK/DvRnXhxQXjaDEYHk8Q2Dw6TCJ1h8mDS/Ood1i8CpVENUNqGKs2b6JXv7bVMVZo3kzdlV5REo41rbE9Vmk8CutZABFELZD4o20qla+dVwXctzpOzTq/wRzPhOgfMupOKzyq9Qu5rYJyTeSXNEWr023OKit5KE9/uV730la//hNAo0uhFXl4tvSgUZk9Ko0dH8Wqaw2n0aKMO/IaXzxOieQ/13tBI7K7/YM7Sjuu/O4Sv/gc= 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diff --git a/diagrams/SAREF4WATR figures.drawio b/diagrams/SAREF4WATR figures.drawio
index a00e6ca42ea72a58cae45ab90c052828565bceb4..c7da9718898c13dfe1790303717b422ad6ac47fd 100644
--- a/diagrams/SAREF4WATR figures.drawio
+++ b/diagrams/SAREF4WATR figures.drawio
@@ -1 +1,2341 @@
-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diff --git a/documentation/description.html b/documentation/description.html
index 73e11ed6525cad0ac5e6ae66d550609892a7fad7..5f0d71dd8929463a224663a927625a37dad5ba8d 100644
--- a/documentation/description.html
+++ b/documentation/description.html
@@ -100,7 +100,7 @@ The extension defines different individuals for each type of water property, bas
In SAREF4WATR water infrastructures can be defined using the s4watr:WaterInfrastructure class. Such infrastructures may be designed for one of the water types described above (through the s4watr:isDesignedFor property), may have an intended use (through the s4watr:isIntendedFor property), and may be classified into five different types, although others may be defined if needed: distribution systems (s4watr:DistributionSystem ), storage infrastructures (s4watr:StorageInfrastructure ), treatment plants (s4watr:TreatmentPlant ), hydroelectric power plants (s4watr:HydroelectricPowerPlant ), and monitoring infrastructures (s4watr:MonitoringInfrastructure ).
-In order to represent the topology of a water infrastructure or its assets, the GeoSPARQL ontology has been reused and connected to the SARE4WATR terms. As shown in Figure 10 , for representing spatial objects the geosp:SpatialObject class from GeoSPARQL has been reused along with its subclasses that allow defining spatial features (geosp:Feature) and geometries (geosp:Geometry). Different properties from GeoSPARQL can be reused to define spatial relations among spatial objects (e.g., geosp:sfContains, or geosp:sfWithin)or to define the geometry of a feature (geosp:hasGeometry). Two types of geometries from the GeoSPARQL Simple Features ontology are proposed to be used: points (sf:Point) and polygons (sf:Polygon), although others may also be used from that same ontology or from another one.
+
In order to represent the topology of a water infrastructure or its assets, the GeoSPARQL ontology has been reused and connected to the SARE4WATR terms. As shown in Figure 10 , for representing spatial objects the geo:SpatialObject class from GeoSPARQL has been reused along with its subclasses that allow defining spatial features (geo:Feature) and geometries (geo:Geometry). Different properties from GeoSPARQL can be reused to define spatial relations among spatial objects (e.g., geo:sfContains, or geo:sfWithin)or to define the geometry of a feature (geo:hasGeometry). Two types of geometries from the GeoSPARQL Simple Features ontology are proposed to be used: points (sf:Point) and polygons (sf:Polygon), although others may also be used from that same ontology or from another one.
We refer to the GeoSPARQL standard for further details on how to define the topology of water infrastructures.
diff --git a/documentation/diagrams/SAREF4WATR Example KPI.png b/documentation/diagrams/SAREF4WATR Example KPI.png
index b2a4687db624576f6d3c39a66f9f8867967cbcef..7d9a3a1efdc675d3ccd538b808f20c3a5530baf8 100644
Binary files a/documentation/diagrams/SAREF4WATR Example KPI.png and b/documentation/diagrams/SAREF4WATR Example KPI.png differ
diff --git a/documentation/diagrams/SAREF4WATR Example water infrastructure.png b/documentation/diagrams/SAREF4WATR Example water infrastructure.png
index d05692c47baba2319441759d7d4571be41dc13c2..3b686847163e84eaceee0c1bf3f7574efcd11332 100644
Binary files a/documentation/diagrams/SAREF4WATR Example water infrastructure.png and b/documentation/diagrams/SAREF4WATR Example water infrastructure.png differ
diff --git a/documentation/diagrams/SAREF4WATR Example water meter.png b/documentation/diagrams/SAREF4WATR Example water meter.png
index 12761432d972d902cb696aa4095e5b4b8e3b3649..34e42e4eeecc61e55bb178421fb20961059f7054 100644
Binary files a/documentation/diagrams/SAREF4WATR Example water meter.png and b/documentation/diagrams/SAREF4WATR Example water meter.png differ
diff --git a/documentation/diagrams/SAREF4WATR Key Performance Indicator.png b/documentation/diagrams/SAREF4WATR Key Performance Indicator.png
index 83723876ec38793159d86391baee5f3fcd4785f7..a0a9f5feda0f763e11ee13ae0cb99aec5c79bec4 100644
Binary files a/documentation/diagrams/SAREF4WATR Key Performance Indicator.png and b/documentation/diagrams/SAREF4WATR Key Performance Indicator.png differ
diff --git a/documentation/diagrams/SAREF4WATR Overview 1.png b/documentation/diagrams/SAREF4WATR Overview 1.png
index 5a5aed5ad150559ccc34d90280f03a58027cf4c5..f3b54fd584d7009c14ae1d624a81519edea90fa6 100644
Binary files a/documentation/diagrams/SAREF4WATR Overview 1.png and b/documentation/diagrams/SAREF4WATR Overview 1.png differ
diff --git a/documentation/diagrams/SAREF4WATR Overview 2.png b/documentation/diagrams/SAREF4WATR Overview 2.png
index ea8b5ca623872b50c0f68f478355abac8b1a7280..1e2fdcad9256c65910fd34a6deeb2eb85bb75599 100644
Binary files a/documentation/diagrams/SAREF4WATR Overview 2.png and b/documentation/diagrams/SAREF4WATR Overview 2.png differ
diff --git a/documentation/diagrams/SAREF4WATR Water infrastructure.png b/documentation/diagrams/SAREF4WATR Water infrastructure.png
index 37e483b0338be373f230cf1aca8383bdd945d79a..8e26d45d7c97af82998be345e32b4866fa126487 100644
Binary files a/documentation/diagrams/SAREF4WATR Water infrastructure.png and b/documentation/diagrams/SAREF4WATR Water infrastructure.png differ
diff --git a/examples/KPI.ttl b/examples/KPI.ttl
index 46e49cbad58704cb221406693d51efc01878443c..c91c897250f62f7d762d41afdfefe7537b55f49d 100644
--- a/examples/KPI.ttl
+++ b/examples/KPI.ttl
@@ -4,7 +4,7 @@
@prefix xsd: .
@prefix rdfs: .
@prefix time: .
-@prefix geosp: .
+@prefix geo: .
@prefix saref: .
@prefix rdfs: .
@prefix time: .
-@prefix geosp: .
@prefix saref: .
@prefix rdfs: .
@prefix time: .
-@prefix geosp: .
@prefix saref: .
@prefix rdfs: .
@prefix time: .
-@prefix geosp: .
+@prefix geo: .
@prefix saref: .
@prefix xsd: .
@prefix rdfs: .
-@prefix geosp: .
+@prefix geo: .
@prefix dctype: .
-@prefix geosp: .
+@prefix geo: .
@prefix sf: .
@prefix schema: ;
rdfs:label "hasGeometry"@en .
### http://www.opengis.net/ont/geosparql#sfContains
-geosp:sfContains rdf:type owl:ObjectProperty ;
+geo:sfContains rdf:type owl:ObjectProperty ;
rdfs:isDefinedBy ;
rdfs:label "sfContains"@en .
### http://www.opengis.net/ont/geosparql#sfWithin
-geosp:sfWithin rdf:type owl:ObjectProperty ;
+geo:sfWithin rdf:type owl:ObjectProperty ;
rdfs:isDefinedBy ;
rdfs:label "sfWithin"@en .
@@ -508,37 +508,37 @@ saref:hasValue rdf:type owl:DatatypeProperty ;
#################################################################
### http://www.opengis.net/ont/geosparql#Feature
-geosp:Feature rdf:type owl:Class ;
- rdfs:subClassOf geosp:SpatialObject ;
+geo:Feature rdf:type owl:Class ;
+ rdfs:subClassOf geo:SpatialObject ;
rdfs:comment "This class represents the top-level feature type. This class is equivalent to GFI_Feature defined in ISO 19156:2011, and it is superclass of all feature types."@en ;
rdfs:isDefinedBy ;
rdfs:label "Feature"@en .
### http://www.opengis.net/ont/geosparql#Geometry
-geosp:Geometry rdf:type owl:Class ;
- rdfs:subClassOf geosp:SpatialObject ;
+geo:Geometry rdf:type owl:Class ;
+ rdfs:subClassOf geo:SpatialObject ;
rdfs:comment "The class represents the top-level geometry type. This class is equivalent to the UML class GM_Object defined in ISO 19107, and it is superclass of all geometry types."@en ;
rdfs:isDefinedBy ;
rdfs:label "Geometry"@en .
### http://www.opengis.net/ont/geosparql#SpatialObject
-geosp:SpatialObject rdf:type owl:Class ;
+geo:SpatialObject rdf:type owl:Class ;
rdfs:isDefinedBy ;
rdfs:label "Spatial object"@en .
### http://www.opengis.net/ont/sf#Point
sf:Point rdf:type owl:Class ;
- rdfs:subClassOf geosp:Geometry ;
+ rdfs:subClassOf geo:Geometry ;
rdfs:isDefinedBy ;
rdfs:label "Point"@en .
### http://www.opengis.net/ont/sf#Polygon
sf:Polygon rdf:type owl:Class ;
- rdfs:subClassOf geosp:Geometry ;
+ rdfs:subClassOf geo:Geometry ;
rdfs:isDefinedBy ;
rdfs:label "Polygon"@en .
@@ -944,7 +944,7 @@ s4watr:Water rdf:type owl:Class ;
### https://saref.etsi.org/saref4watr/WaterAsset
s4watr:WaterAsset rdf:type owl:Class ;
- rdfs:subClassOf geosp:Feature ,
+ rdfs:subClassOf geo:Feature ,
saref:FeatureOfInterest ,
s4syst:System ;
rdfs:comment "A water asset is a physical entity used in the process of transporting, treating, storing and distributing water."@en ;
@@ -961,7 +961,7 @@ s4watr:WaterDevice rdf:type owl:Class ;
### https://saref.etsi.org/saref4watr/WaterInfrastructure
s4watr:WaterInfrastructure rdf:type owl:Class ;
- rdfs:subClassOf geosp:Feature ,
+ rdfs:subClassOf geo:Feature ,
s4syst:System ,
saref:FeatureOfInterest ,
[ rdf:type owl:Restriction ;