On 02/07/14 16:29, David Cuenca wrote:
On Tue, Jul 1, 2014 at 11:07 PM, Markus Krötzsch <[email protected] <mailto:[email protected]>> wrote:My hope is that with my other suggestion (using P31 values as features to correlate with), the property suggester will already be able to outperform my little toy algorithm anyway. One could also combine the two (my algorithm is really simple [1]), but maybe this is not needed. Interesting. That could also help to identify values with a high deviation, and perhaps even do a better job than some template constraints. I was trying to check more classes, but the server seems to have trouble: "Error: could not load file 'classes/Classes.csv'" http://tools.wmflabs.org/wikidata-exports/miga/?classes#_cat=Classes/Id=Q2087181
Strange. Works for me. But we had some temporary service problems at WMF Labs recently, so maybe there was some aftermath of these.
In any case, I should update the software -- Yaron has further improved Miga to lower the initial load times significantly. I'll send another email when I have new code/new data there.
Anyhow, many thanks for working on this.
My pleasure. :-) Markus
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