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.
Cheers,
Andra
On Fri, Sep 30, 2016 at 4:44 PM, Markus Kroetzsch <
markus.kroetzsch(a)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={SPARQL}
.)
# 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(a)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_Wikid
ata_Queries
<https://meta.wikimedia.org/wiki/Research:Understanding_Wiki
data_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>
https://iccl.inf.tu-dresden.de/web/KBS/en
<https://iccl.inf.tu-dresden.de/web/KBS/en>
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