[00:01:20] audiodude: where's that query? [00:02:28] I'm not sure how to get a permalink to the example query [00:02:40] https://query.wikidata.org/#%23Famous%20people%20in%20categorised%20into%20eye%20and%20hair%20color%0A%23defaultView%3ATreeMap%0ASELECT%20%3Feyes%20%3FhairColorLabel%20%28COUNT%28%3Fperson%29%20as%20%3Fcount%29%0AWHERE%0A%7B%0A%09%3Fperson%20wdt%3AP1340%20%3FeyeColor.%0A%20%20%20%20%3Fperson%20wdt%3AP1884%20%3FhairColor.%0A%20%20%20%20%3Fperson%20wdt%3AP2048%20%3Fheight.%0A%20%20%20%20%3FeyeColor%20rdfs%3Alabel%20 [00:02:40] %3F_eyeColorLabel.%0A%20%20%20%20FILTER%28%28LANG%28%3F_eyeColorLabel%29%29%20%3D%20%22en%22%29%0A%20%20%20%20BIND%28CONCAT%28%3F_eyeColorLabel%2C%20%22%20eyes%22%29%20AS%20%3Feyes%29%0A%20%20%20%0A%09SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22en%22.%20%7D%0A%7D%0AGROUP%20BY%20%3Feyes%20%3FhairColorLabel [00:02:42] Here we go [00:02:55] oh god that was awful sorry [00:03:30] https://pastebin.com/Um9qXPxf [00:03:50] heh, wikidata queries are like that ;) [00:05:01] it indeed seems "implicit" [00:05:46] boooo [00:05:49] Maybe a better name would be "Eye and hair color of people (for those which we have such data)" [00:05:52] okay thanks for checking [00:06:16] not that I am even a decent SPARQL speaker [00:06:28] but I don't see where it could lie there [00:06:30] follow up question, do you know of any predicate that could be used for "famousness" or as a proxy for the same? [00:06:42] hmm [00:06:53] it will probably depend on the field [00:07:29] you could filter that they received a nobel prize or an Academy Award… [00:07:42] that's a good start [00:07:53] sounds like it's going to be some multifaceted heuristic [00:07:59] if I go down that road [00:08:03] another option could be checking the number of Wikipedias where there is an article for this person [00:08:18] if it is a famous and relevant one [00:08:29] that could work [00:08:32] given wikipedia inclusion criteria [00:08:44] there *should* be present on many [00:08:50] en has a lot of people I've seriously never heard of [00:09:38] but I bet that some state senator wouldn't also be on pt or whatever [00:11:30] you would be surprised [00:11:55] maybe a random pt user decided to create article about US Senators [00:12:50] depending how you measure being famous, another thing you may want to filter on is the date of birth/death [00:13:48] would you consider Anterus (s III Pope) famous? [00:13:59] sure he was at his time, but probably not so much today [00:16:05] I'm definitely only looking for current fame [00:16:30] curious you bring up date of death, because this is for a computer game of "dead or alive" [00:17:04] oh [00:19:22] I'll probably just seed with, say, Academy Award winners and US presidents and hand curate from there [00:19:24] or something like that [00:21:01] seems a good point [00:21:21] you could have several sets the user can enable and disable, too [00:21:48] maybe someone has zero knowledge about US presidents, but enjoys football players [00:21:54] good idea! [00:22:01] actually as soon as you said "the user" [00:22:07] I thought, why don't I just mturk this [00:22:20] ask actual people "Rank these 5 names in order from least to most famous" [00:22:23] mturk? [00:22:25] oh [00:22:28] amazon mechanical turk [00:22:30] I see [00:22:46] I understood it when you mentioned the question [00:33:18] well anyways thanks Platonides for your help! I'll figure something out [14:27:57] How do I query qualifiers in Wikidata? [15:40:50] sec^nd: http://en.swpat.org/wiki/MPEG_LA#cite_note-11 [15:40:53] ehm wait [15:40:56] https://en.wikibooks.org/wiki/SPARQL/WIKIDATA_Qualifiers,_References_and_Ranks [15:40:57] That one [15:44:40] Thanks sjoerddebruin [15:48:53] w00t there’s a SPARQL Wikibook? [15:49:18] that’s awesome! :D [15:50:00] hehe, and https://en.wikibooks.org/wiki/SPARQL/Sentences looks familiar :) [16:07:30] Yes it reorganises a significant chunk of material found elsewhere, I use it every now and then [18:29:48] Recoin seems to be live updated now :O [18:39:42] Oh wow, someone using the Reddit. https://www.reddit.com/r/Wikidata/comments/7rj56o/how_to_get_associated_english_wikipedia_page_from/