dipper
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HPOA onset and frequencyOfPhenotype predicates
@mbrush
hpoa.ttl (exclusively) uses this unresolvable @base iri as a predicate 49,148 times:
https://monarchinitiative.org/frequencyOfPhenotype
followed by object literals such as:
17,124 "hallmark" .
13,350 "occasional" .
13,249 "typical" .
3,289 "rare" .
163 "common" .
159 "frequent" .
157 "Occasional" .
91 "Rare" .
70 "7.5000 %" .
65 "obligate" .
51 "2/2" .
42 "3/3" .
40 "1/3" .
...
there is a term RO_0003306 "contributes to frequency of condition" which may suffice instead.
hpoa.ttl also (exclusively) uses this unresolvable @base iri as a predicate 438 times
https://monarchinitiative.org/onset
in the form:
<monarch:association> <:onset> <HP:term> .
where the HP: OBJECT terms are
107 <http://purl.obolibrary.org/obo/HP_0003577> ! Congenital onset
86 <http://purl.obolibrary.org/obo/HP_0003593> ! Infantile onset
65 <http://purl.obolibrary.org/obo/HP_0011463> ! Childhood onset
64 <http://purl.obolibrary.org/obo/HP_0003623> ! Neonatal onset
39 <http://purl.obolibrary.org/obo/HP_0003621> ! Juvenile onset
37 <http://purl.obolibrary.org/obo/HP_0003581>
32 <http://purl.obolibrary.org/obo/HP_0003584>
7 <http://purl.obolibrary.org/obo/HP_0011462>
1 <http://purl.obolibrary.org/obo/HP_0003596>
There are nearly 400 terms including th word "onset" in ontobee. perhaps one of them could work here.
the <OBJECT>
in these cases seem to me to be doing a better
job describing the type of relationship than the predicate
maybe
<monarch:association> <HP:term> <disease/phenotype>
would be closer to the data.