Hoi,
To confuse you even more, Reasonator knows about Wikipedia categories. What is so exciting is that it is possible to include statements in Wikidata that Reasonator interprets as statements for a query. Reasonator shows you the results from that query.

I blogged about a Mr Sinegal [1], in the article are links that include numbers, they show off that these queries are live and will show new numbers when either US musicians or musicians are added in Wikidata.
Thanks,
      GerardM

PS I am harvesting information at this time, so you will see updates more or less every fifteen minutes.

[1] http://ultimategerardm.blogspot.nl/2014/07/wikidata-bill-sinegal-us-rhythm-blues.html


On 4 July 2014 14:49, Magnus Manske <magnusmanske@googlemail.com> wrote:



On Fri, Jul 4, 2014 at 1:40 PM, Scott MacLeod <worlduniversityandschool@gmail.com> wrote:
Jane, Lydia and WikiDatans, 

These are great and helpful developments, which seem to be quite far along now. 

Jane and WikiDatans, can you point to similar helpful examples that would distinguish how WikiData Categories and what one can extract with Magnus' reasonator tool from what one can 'extract' with SemanticWiki from WikiData Categories? 


Can everyone please stop with the "categories"? Wikidata has items and properties. I assume you mean properties here.

As for tools to get to data,
* Reasonator [1] is for viewing a single item, and see related items
* WDQ [2] is for machine-readable querying of Wikidata; basically, what SPARQL does on SMW
* Autolist [3] is for getting "clickable" results from WDQ, intersecting results with Wikipedia (!) categories, and semi-automated editing

For more details on these, feel free to email me, or search my blog [4].

Cheers,
Magnus
 
Lydia, are there any emerging video tutorials (in the manner of some of Google's, for example) of tutorials about WikiData Categories and/or Wikidata itself, in terms of making it very easy to use?

Thanks, 
Scott



On Fri, Jul 4, 2014 at 4:40 AM, Jane Darnell <jane023@gmail.com> wrote:
Q17 is Japan, and if you are interested in people from Japan for example, you can do this:
(thanks to Magnus' reasonator tool that can extract category-like info from Wikidata based on properties and qualifiers)


On Fri, Jul 4, 2014 at 9:01 AM, Daniel Kinzler <daniel.kinzler@wikimedia.de> wrote:
Am 04.07.2014 07:10, schrieb Rohan Badlani:
> I had downloaded the wikidata dump from
> http://dumps.wikimedia.org/wikidatawiki/latest/
> There is a file wikidatawiki-20140420-pages-articles-multistream-index which
> consists of triplets like:
>
> 537:114:Q17

I couldn't find documentation for the multistream-index format at
<https://meta.wikimedia.org/wiki/Data_dumps>. I can't make sense of it myself
offhand. Perhaps ask on the wikitech-l list. I suppose the authority on the
question would be Ariel Glenn, perhaps you can get hold of him on IRC.

Note that this format is used for all wikis, so it will not contain anything
that is specific to Wikidata. It would be the same for Wikipedia.

If you figure it out, please add the info to
<https://meta.wikimedia.org/wiki/Data_dumps>!

> which I interpreted as following:
> 537 - category of the topic (which I am unable to find. I want the details of
> this item)

It's not a category. Wikidata doesn't use MediaWiki's Category feature for data
items at all. Wikipedia does, but there pages generally have multiple
categories, identified by name, not a numeric ID.

If you want to build a classification graph of the concepts in Wikidata (I'm
intentionally avoiding the terms "ontology" and "taxonomy" here), you will have
to go by the properties P31 (instance of) and P279 (subclass of) which are used
in many (roughly half) of the data items.

> 114 - page_id of the item Q17.

That seems to be correct.

> Q17 - which is the item. (JSON:
> https://www.wikidata.org/wiki/Special:EntityData/Q17.json)

It's the page title, which, on wikidata.org, is the same as the item ID.


HTH
Daniel

PS: we are close to providing JSON dumps on a regular basis, and also make the
JSON contained in the XML dumps more readable. This will hopefully make
analyzing Wikidata less painful.

--
Daniel Kinzler
Senior Software Developer

Wikimedia Deutschland
Gesellschaft zur Förderung Freien Wissens e.V.

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