I guess I qualify for #2 several times: * The <mapframe> & <maplink> support access to the geoshapes service, which in turn can make requests to WDQS. For example, see https://en.wikipedia.org/wiki/User:Yurik/maplink (click on "governor's link")
* The <graph> wiki tag supports the same geoshapes service, as well as direct queries to WDQS. This graph uses both (one to get all countries, the other is to get the list of disasters) https://www.mediawiki.org/wiki/Extension:Graph/Demo/Sparql/Largest_disasters
* There has been some discussion to allow direct WDQS querying from maps too - e.g. to draw points of interest based on Wikidata (very easy to implement, but we should be careful to cache it properly)
Since all these queries are called from either nodejs or our javascript, we could attach extra headers, like X-Analytics, which is already handled by Varnish. Also, NodeJS queries could set the user agent string.
On Fri, Sep 30, 2016 at 10:44 AM Markus Kroetzsch < markus.kroetzsch@tu-dresden.de> wrote:
On 30.09.2016 16:18, Andra Waagmeester wrote:
Would it help if I add the following header to every large batch of
queries?
####### # access: (http://query.wikidata.org or
https://query.wikidata.org/bigdata/namespace/wdq/sparql?query=%7BSPARQL%7D .)
# contact: email, acountname, twittername etc # bot: True/False # ......... ######
This is already more detailed than what I had in mind. Having a way to tell apart bots and tools from "organic" queries would already be great. We are mainly looking for something that will help us to understand sudden peaks of activity. For this, it might be enough to have a short signature (a URL could be given, but a tool name with a version would also be fine). This is somewhat like the "user agent" field in HTTP.
But you are right that some formatting convention may help further here. How about this:
#TOOL:<any user agent information that you like to share>
Then one could look for comments of this form without knowing all the tools upfront. Of course, this is just a hint in any case, since one could always use the same comment in any manually written query.
Best regards,
Markus
On Fri, Sep 30, 2016 at 4:00 PM, Markus Kroetzsch <markus.kroetzsch@tu-dresden.de mailto:markus.kroetzsch@tu-dresden.de> wrote:
Dear SPARQL users, We are starting a research project to investigate the use of the Wikidata SPARQL Query Service, with the goal to gain insights that may help to improve Wikidata and the query service [1]. Currently, we are still waiting for all data to become available. Meanwhile, we would like to ask for your input. Preliminary analyses show that the use of the SPARQL query service varies greatly over time, presumably because power users and software tools are running large numbers of queries. For a meaningful analysis, we would like to understand such high-impact biases in the data. We therefore need your help: (1) Are you a SPARQL power user who sometimes runs large numbers of queries (over 10,000)? If so, please let us know how your queries might typically look so we can identify them in the logs. (2) Are you the developer of a tool that launches SPARQL queries? If so, then please let us know if there is any way to identify your queries. If (1) or (2) applies to you, then it would be good if you could include an identifying comment into your SPARQL queries in the future, to make it easier to recognise them. In return, this would enable us to provide you with statistics on the usage of your tool[2].
Further feedback is welcome. Cheers, Markus [1]https://meta.wikimedia.org/wiki/Research:Understanding_Wikidata_Queries
<https://meta.wikimedia.org/wiki/Research:Understanding_Wikidata_Queries%3E
[2] Pending permission by the WMF. Like all Wikimedia usage data, the query logs are under strict privacy protection, so we will need to get clearance before sharing any findings with the public. We hope, however, that there won't be any reservations against publishing non-identifying information. -- Prof. Dr. Markus Kroetzsch Knowledge-Based Systems Group Faculty of Computer Science TU Dresden +49 351 463 38486 <tel:%2B49%20351%20463%2038486> https://iccl.inf.tu-dresden.de/web/KBS/en <https://iccl.inf.tu-dresden.de/web/KBS/en> _______________________________________________ Wikidata mailing list Wikidata@lists.wikimedia.org <mailto:Wikidata@lists.wikimedia.org> https://lists.wikimedia.org/mailman/listinfo/wikidata <https://lists.wikimedia.org/mailman/listinfo/wikidata>
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