I have an internal triples dataset.
I am trying to implement a typeahead feature for an application using the dataset.
I am trying to figure out how I can conditional traverse to the Top Concept
In this picture, if I searched for dreamworks, It would be 3 layers down (Business Organizations -> Private Company -> Dreamworks).
If I do something else, obviously it will be at different layers of the graph.
I am trying to get the value "Organization" or "Person" as the top level.
This very straightforward query works.
SELECT DISTINCT ?subjectPrefLabel ?a ?b ?o
WHERE
{
?subject skosxl:prefLabel/skosxl:literalForm ?subjectPrefLabel .
?subject skos:broader/skos:broader/skos:broader/skosxl:prefLabel/skosxl:literalForm ?a
FILTER regex(?subjectPrefLabel, "Dreamworks", 'i')
}
ORDER BY ?subjectPrefLabel
However, obviously this is unsustainable, since the developer would need to know how many levels down the hierarchy in order to issue the correct number of skos:broader
.
Is there anyway I can conditionally discover the highest level of the hierarchy?
As this is an internal Ontology, I cannot share any data, so I know it will be hard to work with, any advice is appreciated.
Using the kleene star operator *
incombination with a FILTER
that there is no more broad concept should return the top concepts only:
SELECT DISTINCT ?subjectPrefLabel ?a ?b ?o WHERE {
?subject skosxl:prefLabel/skosxl:literalForm ?subjectPrefLabel .
?subject skos:broader* ?concept.
?concept skosxl:prefLabel/skosxl:literalForm ?a
FILTER NOT EXISTS { ?concept skos:broader ?supConcept }
FILTER regex(?subjectPrefLabel, "Dreamworks", 'i')
}
ORDER BY ?subjectPrefLabel