On Sun, Oct 1, 2017 at 11:12 AM, Tomas Straupis <tomasstrau...@gmail.com> wrote:
> I guess the point is that: > 1. Its ok to play with some pet-tag like wikidata > 100 % agree > 2. Its not a WORK to automatically update one osm tag according to another > osm tag (anybody can do it online/locally/etc). It adds NO value. > It adds HUGE value, as was repeatably shown. Thanks to Wikidata IDs, the community was able to see and fix tens of thousands of errors in Wikipedia tags. The Wikipedia link improvement project is based on it: https://wiki.openstreetmap.org/wiki/Wikipedia_Link_Improvement_Project Also, there is no point to add it online/locally because that wouldn't help community to find these errors. 3. It is totally unacceptable to introduce idea that wikipedia tag could be > removed at some time, because some other new automatically filled tag has > been introduced. > First, it is always acceptable to introduce and discuss new ideas. Any ideas. Always. We, as a community, don't have to accept them, but discussing innovations is always a good thing. That said, the removal of wikipedia tag is NOT being discussed here. We are discussing the way to improve them, because they are currently broken. Badly. > So if you like wikidata tag - go ahead and enjoy it, but do not tuch > wikipedia tag with autoscripts because people are actually using it. > Especially when you not only avoid discussing with local communities, but > ignore active requests from local communities to stay away. > > Tomas, 1) i don't have autoscripts to touch wikipedia tag, I use JOSM to generate wikidata tags because of the benefits it provides 2) i am providing a way for community to fix the broken wikipedia tags, 3) I have been very actively talking to many communities (in, ru, de, fr, ...). Also, please elaborate which community has asked me to stay away??? A very broad statement, considering that every single community had many members supporting this effort. And 4) could you elaborate on who uses wikipedia tags, and how they are being used? It would greatly help to understand various use cases for such data.
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