Dear DBpedia community,
I am a PhD student from Fondazione Bruno Kessler [1] in Trento and I'm
working with my team on Airpedia [2], which is a semantic resource based
on machine learning techniques that aims to extend the coverage of
DBpedia on classes (and, in a second step, on properties).
A draft version of the resource is available on our website. we are
currently working on releasing it to the Semantic Web Community, and
investigating on the best RDF format to use.
Actually, we use a simple CSV format. For example:
#ID Class Relevance
140132 Eukaryote 10
140132 Animal 10
140132 Fish 10
140132 Species 10
140137 OlympicResult 8
140143 Eukaryote 10
140143 Amphibian 10
140143 Animal 10
140143 Species 10
The ID column refers to a WikiData ID, and can be solved on the WikiData
website on the link http://wikidata.org/wiki/Q<ID>; the Class column is
the guessed DBpedia class; the Relevance column is our confidence about
the class (from 7 to 10, being a k-NN voting, k=10). It is really easy
for us to retrieve the DBpedia ID given the WikiData ID.
Which is, in your opinion, the best way to represent this data in RDF,
keeping in mind that we want to differentiate our triples from the
original DBpedia ones and we want the relevance to be preserved?
We have in mind the folowing candidate solutions.
("air" is our RDF namespace)
*Solution 1**(string concatenation)*
* ID air:type Class .
* ID_Class air:confidence Relevance .
* sameAses
For example:
140132 Eukaryote 10
140132 Animal 10
140132 Fish 10
140132 Species 10
becomes:
<http://airpedia.org/resource/140132>
<http://airpedia.org/vocab/01/#type>
<http://dbpedia.org/ontology/Eukaryote> .
<http://airpedia.org/resource/140132_Eukaryote>
<http://airpedia.org/vocab/01/#confidence> "10"^^xsd:int .
<http://airpedia.org/resource/140132>
<http://airpedia.org/vocab/01/#type> <http://dbpedia.org/ontology/Animal> .
<http://airpedia.org/resource/140132_Animal>
<http://airpedia.org/vocab/01/#confidence> "10"^^xsd:int .
<http://airpedia.org/resource/140132>
<http://airpedia.org/vocab/01/#type> <http://dbpedia.org/ontology/Fish> .
<http://airpedia.org/resource/140132_Fish>
<http://airpedia.org/vocab/01/#confidence> "10"^^xsd:int .
<http://airpedia.org/resource/140132>
<http://airpedia.org/vocab/01/#type> <http://dbpedia.org/ontology/Species> .
<http://airpedia.org/resource/140132_Species>
<http://airpedia.org/vocab/01/#confidence> "10"^^xsd:int .
<http://airpedia.org/resource/140132> owl:sameAs
<http://dbpedia.org/resource/Big_skate> .
<http://airpedia.org/resource/140132> owl:sameAs
<http://ca.dbpedia.org/resource/Raja_binoculata> .
...
*Solution 2**(blank nodes)*
* ID air:isClassified bNode
* bNode air:type Class
* bNode air:confidence Relevance
* sameAses
For example:
140132 Eukaryote 10
140132 Animal 10
140132 Fish 10
140132 Species 10
becomes:
<http://airpedia.org/resource/140132>
<http://airpedia.org/vocab/01/#isClassified> _:1 .
_:1 <http://airpedia.org/vocab/01/#type>
<http://dbpedia.org/ontology/Eukaryote> .
_:1 <http://airpedia.org/vocab/01/#confidence> "10"^^xsd:int .
<http://airpedia.org/resource/140132>
<http://airpedia.org/vocab/01/#isClassified> _:2 .
_:2 <http://airpedia.org/vocab/01/#type>
<http://dbpedia.org/ontology/Fish> .
_:2 <http://airpedia.org/vocab/01/#confidence> "10"^^xsd:int .
<http://airpedia.org/resource/140132>
<http://airpedia.org/vocab/01/#isClassified> _:3 .
_:3 <http://airpedia.org/vocab/01/#type>
<http://dbpedia.org/ontology/Animal> .
_:3 <http://airpedia.org/vocab/01/#confidence> "10"^^xsd:int .
<http://airpedia.org/resource/140132>
<http://airpedia.org/vocab/01/#isClassified> _:4 .
_:4 <http://airpedia.org/vocab/01/#type>
<http://dbpedia.org/ontology/Species> .
_:4 <http://airpedia.org/vocab/01/#confidence> "10"^^xsd:int .
<http://airpedia.org/resource/140132> owl:sameAs
<http://dbpedia.org/resource/Big_skate> .
<http://airpedia.org/resource/140132> owl:sameAs
<http://ca.dbpedia.org/resource/Raja_binoculata> .
...
While waiting for your suggestions, we finish the classification and
make the CSV available on our website [2].
Thank you!
Best,
Alessio
[1] http://www.fbk.eu
[2] http://www.airpedia.org
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