DBPedia - Most relevant predicates per resource - sparql

Question

I'd like to determine the most relevant properties / predicates (not objects) for any resource in DBPedia and Yago (e.g. the top 20). For instance, intuitively for a music artist you would be interested in his age, genre, music label, records etc.
What should a good algorithm look like to solve this problem?
My current naive approach is the following.
First I retreive all classes, ordered by their "size". (Warning, very expensive query!)
SELECT distinct ?class (count(distinct ?e) as ?c)
WHERE {
?e rdf:type ?class .
}
ORDER BY DESC(?c)
Then I make a query for each of those classes to get the number of entities within that class that have that certain property.
SELECT distinct ?prop (count(distinct ?e) as ?c)
WHERE {
?e rdf:type <--CLASS--> .
?e ?prop []
}
ORDER BY DESC(?c)
<--CLASS--> is replaced by the URI of the respective class. After some post-processing this gives me a list like this:
"dbo:Agent": {
"count": 1974654,
"properties": {
"http://www.w3.org/1999/02/22-rdf-syntax-ns#type": 399948,
"http://www.w3.org/2002/07/owl#sameAs": 67799,
"dbp:name": 22272,
"dbp:hasPhotoCollection": 13122,
"http://xmlns.com/foaf/0.1/givenName": 10799,
"dbo:birthPlace": 10055,
"dbo:birthDate": 9953,
"dbo:birthYear": 9735
}
},
"dbo:Person": {
count:
...
It tells me, which properties are most relevant for which class. Of course "meta" properties like http://www.w3.org/2002/07/owl#sameAs should be ignored in a later step.
However, entities are in multiple classes and potentially every of those is important and gives additional information. E.g. dbr:John_Lennon is (among others) in dbo:Person and dbo:MusicalArtist. I need to combine these classes' property rankings. I thought of the following approach, but I'm unsure if this is actually a reasonable solution.
So my idea was to compute relative weights for every property (e.g. propX in classA) by dividing the number of entities within classA that have propX by the total number of properties in classA. If I want to merge two classes then, e.g. classA and classB (or Person and MusicalArtist), I'd simply rank the properties of both classes in combination, ordered by their relative weights (is this a legit comparison?). If a property occurs in both classes, I'd compute the harmonic mean over both for the ranking.
Assuming the above steps would actually make sense (please let me know what you think), I got one more problem. I want to combine information from DBPedia and Yago, so for dbr:John_Lennon I want to fetch the equivalent (owl:sameAs) yr:John_Lennon from Yago. How can I merge the property ranking from both datasets to finally get a list of top 20 most relevant properties consisting of a mix of both DBP and Yago properties?