It depends on what do you want to do.
The triples with #10 are compiled using some heuristics and data from DBpedia in 16 languages, while #9 to #6 are automatically calculated using the previous triples as training. Usually #9 is very precise (more than 90%).

I ask you not to edit the type, as I prefer that the Airpedia label lasts in the triples. When the Italian DBpedia will release the new dataset, I'll send an e-mail to the community explaining how we decide to use the w3 type leaving a link to Airpedia.

Feel free to ask more information.
Best,
Alessio


Il 19/06/13 13:38, kasun perera ha scritto:
So these entity types are a new set separated in to languages.
I can see these triples are following format
<http://be.dbpedia.org/resource/Паўночная_Ірландыя <http://be.dbpedia.org/resource/%D0%9F%D0%B0%D1%9E%D0%BD%D0%BE%D1%87%D0%BD%D0%B0%D1%8F_%D0%86%D1%80%D0%BB%D0%B0%D0%BD%D0%B4%D1%8B%D1%8F>> <http://airpedia.org/ontology/type_with_conf#10> <http://dbpedia.org/ontology/Place>

So i'm going to import this in to dbpedia as follows; can someone confirm whether i'm right? <http://be.dbpedia.org/resource/Паўночная_Ірландыя <http://be.dbpedia.org/resource/%D0%9F%D0%B0%D1%9E%D0%BD%D0%BE%D1%87%D0%BD%D0%B0%D1%8F_%D0%86%D1%80%D0%BB%D0%B0%D0%BD%D0%B4%D1%8B%D1%8F>> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://dbpedia.org/ontology/Place>

type_with_conf#10 means accuracy around 100% right? So is it a good idea to import only entries having config#10 or just import all without worrying about it?


On Tue, Jun 18, 2013 at 9:19 PM, Alessio Palmero Aprosio <[email protected] <mailto:[email protected]>> wrote:

    Dear Kasun,
    on the web page
    http://www.airpedia.org/download/dbpedia-entity-types-in-31-languages/
    you can find the classes in 31 languages.
    The type is set to http://airpedia.org/ontology/type_with_conf#X ,
    so you can import the triples into DBpedia without conflicts.

    In the next days, the Italian DBpedia team will release a new
    extraction (based on DBpedia 3.8) with these triple in it. The
    format in this case is slightly different: I'll write about it in
    the next e-mail.

    Let me know if you have troubles.

    Best,
    Alessio

    Il 18/06/13 03:10, kasun perera ha scritto:
    I started working on integrating Airpedia types to Dbpedia-links.

    As Marco mentioned previously, these are the  3 data-sets that I
    can use and I need to analyze what is the best data set that to
    be integrated in to the Dbpedia.
    <http://airpedia.org/extraction/10-all>
    extracted using classifier with all kernels and the bottom-to-top
    strategy.
    <http://airpedia.org/extraction/10-all-top>
    extracted using classifier with all kernels and the top-to-bottom
    strategy
    <http://airpedia.org/extraction/10-tpl>
    extracted using classifier with the sole template kernel and the
    bottom-to-top strategy

    In Alessio et. al. ESWC paper, I can see it has already done some
    tests to measure precision and recall of these classifications.
    Can I use those results to select best Airpedia data-set for
    dbpedia? or do I need to test with another data set(the ones
    Aleksander mentioned) to measure precision and recall?

    Thanks
-- Regards

    Kasun Perera





--
Regards

Kasun Perera


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