Obviously data can't be licensed but graphs and other parts can be copyrighted. I'm just trying to make re-useability easier.
Best On Wed, Dec 16, 2015 at 4:14 PM Gerard Meijssen <[email protected]> wrote: > Hoi, > What is achieved in this way and, on what basis can you license the output > of a tool? > Thanks, > GerardM > > On 16 December 2015 at 12:58, Amir Ladsgroup <[email protected]> wrote: > >> Content created by this tools is licensed under CC-BY v4.0. I made it >> explicit now :) >> >> Best >> >> On Wed, Dec 16, 2015 at 3:11 PM Jane Darnell <[email protected]> wrote: >> >>> Amir, >>> Thanks for your work! I like this one showing how our >>> Sum-of-all-Paintings project is doing compared to sculptures (which have >>> many copyright issues, but you could still put the data on Wikidata) >>> http://tools.wmflabs.org/wd-analyst/index.php?p=p31&q=Q3305213%7CQ860861 >>> >>> Jane >>> >>> On Wed, Dec 16, 2015 at 12:23 PM, Amir Ladsgroup <[email protected]> >>> wrote: >>> >>>> Hey, >>>> Thanks for your feedback. That's exactly what I'm looking for. >>>> >>>> On Mon, Dec 14, 2015 at 5:29 PM Paul Houle <[email protected]> wrote: >>>> >>>>> It's a step in the right direction, but it took a very long time to >>>>> load on my computer. >>>>> >>>> It's maybe related to labs recent issues. Now I get reasonable time: >>>> http://tools.pingdom.com/fpt/#!/eq1i3s/http://tools.wmflabs.org/wd-analyst/index.php >>>> >>>>> >>>>> After the initial load, it was pretty peppy, then I ran the default >>>>> example that is grayed in but not active (I had to retype it) >>>>> >>>> >>>> I made some modifications that might help; >>>> >>>>> Then I get the page that says "results are ready" and how cool they >>>>> are, then it takes me a while to figure out what I am looking at and >>>>> finally realize it is a comparison of data quality metrics (which I think >>>>> are all fact counts) between all of the P31 predicates and the Q5. >>>>> >>>> I made some changes so you can see things easier. I appreciate if you >>>> suggest some words I put in the description; >>>> >>>> >>>>> The use of the graphic on the first row complicated this for me. >>>>> >>>>> Please sugest something I write there for people :); >>>> >>>>> There are a lot of broken links on this page too such as >>>>> >>>>> http://tools.wmflabs.org/wd-analyst/sitelink.php >>>>> https://www.wikidata.org/wiki/P31 >>>>> >>>> >>>> The property broken should be fixed by now and sitelink is broken >>>> because It's not there yet. I'll make it very soon; >>>> >>>>> >>>>> >>>>> and of course no merged in documentation about what P31 and Q5 are. >>>>> Opaque identifiers are necessary for your project, but >>>>> >>>>> Also some way to find the P's and Q's hooked up to this would be most >>>>> welcome. >>>>> >>>>> Done, Now we have label for everything; >>>> >>>>> It's a great start and is completely in the right direction but it >>>>> could take many sprints of improvement. >>>>> >>>>> On Wed, Dec 9, 2015 at 4:36 AM, Gerard Meijssen < >>>>> [email protected]> wrote: >>>>> >>>>>> Hoi, >>>>>> What would be nice is to have an option to understand progress from >>>>>> one dump to the next like you can with the Statistics by Magnus. Magnus >>>>>> also has data on sources but this is more global. >>>>>> Thanks, >>>>>> GerardM >>>>>> >>>>>> On 8 December 2015 at 21:41, Markus Krötzsch < >>>>>> [email protected]> wrote: >>>>>> >>>>>>> Hi Amir, >>>>>>> >>>>>>> Very nice, thanks! I like the general approach of having a >>>>>>> stand-alone tool for analysing the data, and maybe pointing you to >>>>>>> issues. >>>>>>> Like a dashboard for Wikidata editors. >>>>>>> >>>>>>> What backend technology are you using to produce these results? Is >>>>>>> this live data or dumped data? One could also get those numbers from the >>>>>>> SPARQL endpoint, but performance might be problematic (since you compute >>>>>>> averages over all items; a custom approach would of course be much >>>>>>> faster >>>>>>> but then you have the data update problem). >>>>>>> >>>>>>> An obvious feature request would be to display entity ids as links >>>>>>> to the appropriate page, and maybe with their labels (in a language of >>>>>>> your >>>>>>> choice). >>>>>>> >>>>>>> But overall very nice. >>>>>>> >>>>>>> Regards, >>>>>>> >>>>>>> Markus >>>>>>> >>>>>>> >>>>>>> On 08.12.2015 18:48, Amir Ladsgroup wrote: >>>>>>> >>>>>>>> Hey, >>>>>>>> There has been several discussion regarding quality of information >>>>>>>> in >>>>>>>> Wikidata. I wanted to work on quality of wikidata but we don't have >>>>>>>> any >>>>>>>> source of good information to see where we are ahead and where we >>>>>>>> are >>>>>>>> behind. So I thought the best thing I can do is to make something to >>>>>>>> show people how exactly sourced our data is with details. So here we >>>>>>>> have *http://tools.wmflabs.org/wd-analyst/index.php* >>>>>>>> >>>>>>>> You can give only a property (let's say P31) and it gives you the >>>>>>>> four >>>>>>>> most used values + analyze of sources and quality in overall (check >>>>>>>> this >>>>>>>> out <http://tools.wmflabs.org/wd-analyst/index.php?p=P31>) >>>>>>>> and then you can see about ~33% of them are sources which 29.1% of >>>>>>>> them are based on Wikipedia. >>>>>>>> You can give a property and multiple values you want. Let's say you >>>>>>>> want >>>>>>>> to compare P27:Q183 (Country of citizenship: Germany) and P27:Q30 >>>>>>>> (US) >>>>>>>> Check this out >>>>>>>> <http://tools.wmflabs.org/wd-analyst/index.php?p=P27&q=Q30|Q183>. >>>>>>>> And >>>>>>>> you can see US biographies are more abundant (300K over 200K) but >>>>>>>> German >>>>>>>> biographies are more descriptive (3.8 description per item over 3.2 >>>>>>>> description over item) >>>>>>>> >>>>>>>> One important note: Compare P31:Q5 (a trivial statement) 46% of >>>>>>>> them are >>>>>>>> not sourced at all and 49% of them are based on Wikipedia **but* >>>>>>>> *get >>>>>>>> this statistics for population properties (P1082 >>>>>>>> <http://tools.wmflabs.org/wd-analyst/index.php?p=P1082>) It's not a >>>>>>>> trivial statement and we need to be careful about them. It turns out >>>>>>>> there are slightly more than one reference per statement and only >>>>>>>> 4% of >>>>>>>> them are based on Wikipedia. So we can relax and enjoy these >>>>>>>> highly-sourced data. >>>>>>>> >>>>>>>> Requests: >>>>>>>> >>>>>>>> * Please tell me whether do you want this tool at all >>>>>>>> * Please suggest more ways to analyze and catch unsourced >>>>>>>> materials >>>>>>>> >>>>>>>> Future plan (if you agree to keep using this tool): >>>>>>>> >>>>>>>> * Support more datatypes (e.g. date of birth based on year, >>>>>>>> coordinates) >>>>>>>> * Sitelink-based and reference-based analysis (to check how much >>>>>>>> of >>>>>>>> articles of, let's say, Chinese Wikipedia are unsourced) >>>>>>>> >>>>>>>> * Free-style analysis: There is a database for this tool that can >>>>>>>> be >>>>>>>> used for way more applications. You can get the most unsourced >>>>>>>> statements of P31 and then you can go to fix them. I'm trying to >>>>>>>> build a playground for this kind of tasks) >>>>>>>> >>>>>>>> I hope you like this and rock on! >>>>>>>> <http://tools.wmflabs.org/wd-analyst/index.php?p=P136&q=Q11399> >>>>>>>> Best >>>>>>>> >>>>>>>> >>>>>>>> _______________________________________________ >>>>>>>> Wikidata mailing list >>>>>>>> [email protected] >>>>>>>> https://lists.wikimedia.org/mailman/listinfo/wikidata >>>>>>>> >>>>>>>> >>>>>>> >>>>>>> _______________________________________________ >>>>>>> Wikidata mailing list >>>>>>> [email protected] >>>>>>> https://lists.wikimedia.org/mailman/listinfo/wikidata >>>>>>> >>>>>> >>>>>> >>>>>> _______________________________________________ >>>>>> Wikidata mailing list >>>>>> [email protected] >>>>>> https://lists.wikimedia.org/mailman/listinfo/wikidata >>>>>> >>>>>> >>>>> >>>>> >>>>> -- >>>>> Paul Houle >>>>> >>>>> *Applying Schemas for Natural Language Processing, Distributed >>>>> Systems, Classification and Text Mining and Data Lakes* >>>>> >>>>> (607) 539 6254 paul.houle on Skype [email protected] >>>>> >>>>> :BaseKB -- Query Freebase Data With SPARQL >>>>> http://basekb.com/gold/ >>>>> >>>>> Legal Entity Identifier Lookup >>>>> https://legalentityidentifier.info/lei/lookup/ >>>>> <http://legalentityidentifier.info/lei/lookup/> >>>>> >>>>> Join our Data Lakes group on LinkedIn >>>>> https://www.linkedin.com/grp/home?gid=8267275 >>>>> >>>>> _______________________________________________ >>>>> Wikidata mailing list >>>>> [email protected] >>>>> https://lists.wikimedia.org/mailman/listinfo/wikidata >>>>> >>>> >>>> _______________________________________________ >>>> Wikidata mailing list >>>> [email protected] >>>> https://lists.wikimedia.org/mailman/listinfo/wikidata >>>> >>>> >>> _______________________________________________ >>> Wikidata mailing list >>> [email protected] >>> https://lists.wikimedia.org/mailman/listinfo/wikidata >>> >> >> _______________________________________________ >> Wikidata mailing list >> [email protected] >> https://lists.wikimedia.org/mailman/listinfo/wikidata >> >> > _______________________________________________ > Wikidata mailing list > [email protected] > https://lists.wikimedia.org/mailman/listinfo/wikidata >
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