Dear all,
I am Jason Koh from Brick community (http://brickschema.org/).
I try to run a SPARQL query on a graph, and it takes forever on Fuseki.
Environment: Windows 10, i5, 8 GB RAM
Graph size: 4000 triples
The query:
############ (prefixes are omitted here.)
SELECT DISTINCT ?sensor ?room
WHERE {
{ ?sensor rdf:type/rdfs:subClassOf* brick:Zone_Temperature_Sensor . }
UNION
{ ?sensor rdf:type/rdfs:subClassOf*
brick:Discharge_Air_Temperature_Sensor . }
UNION
{ ?sensor rdf:type/rdfs:subClassOf* brick:Occupancy_Sensor . }
UNION
{ ?sensor rdf:type/rdfs:subClassOf* brick:CO2_Sensor . }
?vav rdf:type brick:VAV .
?zone rdf:type brick:HVAC_Zone .
?room rdf:type brick:Room .
?vav bf:feeds+ ?zone .
?zone bf:hasPart ?room .
{?sensor bf:isPointOf ?vav }
UNION
{?sensor bf:isPointOf ?room }
}
#######
Background knowledge: I would like to find all the sensors that are
subclass* of the above sensor types in all rooms. A sensor may be a sensor
of a room or VAV, which is equipment serving a room.
Is this a just not reasonable query and should I divide it into several
queries such as one for rooms and one for sensors belonging to the rooms?
Short intro to Brick: It is a building ontology to describe resources in
buildings comprehensively.
Github repo with ontology :
https://github.com/BuildSysUniformMetadata/GroundTruth
A webpage under construction : http://brickschema.org/
Paper: https://people.eecs.berkeley.edu/~gtfierro/papers/brick.pdf
Thank you.
With regards,
Jason Koh
cseweb.ucsd.edu/~jbkoh
