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
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