On 30.09.2016 19:50, Andra Waagmeester wrote:
Just curious while we are on the topic. When you are inspecting the headers to separate between "organic" queries and bot queries, would it be possible to count the times a set of properties is used in the different queries? This would be a nice way to demonstrate to original external resources how "their" data is used and which combination of properties are used together with "their" properties (eg. P351 for ncbi gene or P699 for the disease ontology). It would be interesting to know how often for example those two properties are used in one single query.
Yes, we definitely want to do such analyses. The first task is to clean up and group/categorize queries so we can get a better understanding (if a property is used in 100K queries a day, it would still be nice to know if they come from a single script or from many users).
Once we have this, we would like to analyse for content (which properties and classes are used, etc.) but also for query feature (how many OPTIONALs, GROUP BYs, etc. are used). Ideas on what to analyse further are welcome. Of course, SPARQL can only give a partial idea of "usage", since Wikidata content can be used in ways that don't involve SPARQL. Moreover, counting raw numbers of queries can also be misleading: we have had cases where a single query result was discussed by hundreds of people (e.g. the Panama papers query that made it to Le Monde online), but in the logs it will still show up only as a single query among millions.
Best, Markus
On Fri, Sep 30, 2016 at 4:44 PM, Markus Kroetzsch <[email protected] <mailto:[email protected]>> 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={SPARQL} <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 <[email protected] <mailto:[email protected]> <mailto:[email protected] <mailto:[email protected]>>> 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> <https://meta.wikimedia.org/wiki/Research:Understanding_Wikidata_Queries <https://meta.wikimedia.org/wiki/Research:Understanding_Wikidata_Queries>> [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> <tel:%2B49%20351%20463%2038486> https://iccl.inf.tu-dresden.de/web/KBS/en <https://iccl.inf.tu-dresden.de/web/KBS/en> <https://iccl.inf.tu-dresden.de/web/KBS/en <https://iccl.inf.tu-dresden.de/web/KBS/en>> _______________________________________________ Wikidata mailing list [email protected] <mailto:[email protected]> <mailto:[email protected] <mailto:[email protected]>> https://lists.wikimedia.org/mailman/listinfo/wikidata <https://lists.wikimedia.org/mailman/listinfo/wikidata> <https://lists.wikimedia.org/mailman/listinfo/wikidata <https://lists.wikimedia.org/mailman/listinfo/wikidata>> _______________________________________________ Wikidata mailing list [email protected] <mailto:[email protected]> https://lists.wikimedia.org/mailman/listinfo/wikidata <https://lists.wikimedia.org/mailman/listinfo/wikidata> _______________________________________________ Wikidata mailing list [email protected] <mailto:[email protected]> https://lists.wikimedia.org/mailman/listinfo/wikidata <https://lists.wikimedia.org/mailman/listinfo/wikidata> _______________________________________________ Wikidata mailing list [email protected] https://lists.wikimedia.org/mailman/listinfo/wikidata
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