Hello,

Thanks. Few questions:
- Have you found the problem or is the procedure you ask me to follow  is what 
you prefer doing when an issue MAY be  related to a corrupted environment?
- If you think the True Image environment  got corrupted, what is the root 
source for it? What will prevent it from happening again?
- As of now, 6  incremental backups have been done after the last full backup 
(the unexpected full backup underlying this ticket).  My scheme is set to do 6 
incremental backups before a full backup, so the next backup should be a full 
one. Assuming it will indeed be a full backup, do you still  want me to follow 
the cleaning procedure?


Regards,
Haim

-----Original Message-----
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Today's Topics:

   1. Re: NCI Thesaurus ID links not working (Thad Guidry)
   2. Re: Indexing all item properties in ElasticSearch (sushil dutt)
   3. Re: [discovery-private] Indexing all item properties in
      ElasticSearch (David Causse)
   4. Re: [discovery-private] Indexing all item properties in
      ElasticSearch (David Causse)
   5. Re: Indexing all item properties in ElasticSearch
      (Sylvain Boissel)
   6. Re: Indexing all item properties in ElasticSearch (Stas Malyshev)
   7. Re: [discovery-private] Indexing all item properties in
      ElasticSearch (Stas Malyshev)
   8. Re: Indexing all item properties in ElasticSearch (James Heald)
   9. Re: [discovery-private] Indexing all item properties in
      ElasticSearch (Stas Malyshev)
  10. Re: Indexing all item properties in ElasticSearch (Stas Malyshev)
  11. Re: Indexing all item properties in ElasticSearch (Stas Malyshev)
  12. Re: [discovery-private] Indexing all item properties in
      ElasticSearch (David Causse)
  13. Re: Wikidata in the LOD Cloud (Ettore RIZZA)


----------------------------------------------------------------------

Message: 1
Date: Fri, 27 Jul 2018 07:08:26 -0500
From: Thad Guidry <thadgui...@gmail.com>
To: Discussion list for the Wikidata project
        <wikidata@lists.wikimedia.org>
Subject: Re: [Wikidata] NCI Thesaurus ID links not working
Message-ID:
        <CAChbWaMBNs7RmpCXWCXanupRNHnAZe2OmNBpmc3W+z9=sc7...@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"

No other issues, Lydia.  Thanks for the answer.

How or where to give my vote for consensus of that ?

-Thad

On Thu, Jul 26, 2018, 7:38 AM Lydia Pintscher <lydia.pintsc...@wikimedia.de>
wrote:

> Hey Thad,
>
> Sorry it took me a bit to reply because of Wikimania.
> https://www.wikidata.org/wiki/Q1931388 does have a link for the NCI
> Thesaurus ID for me. The reason for it not being in the external
> identifier section is that it has datatype string and not external
> identifier like the others in the external identifier section. It can
> be converted if there is rough consensus to do so.
> Are there still other issues that I didn't answer?
>
>
> Cheers
> Lydia
>
> --
Thad
+ThadGuidry <https://plus.google.com/+ThadGuidry>
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Message: 2
Date: Fri, 27 Jul 2018 18:16:16 +0530
From: sushil dutt <sushil.killst...@gmail.com>
To: Discussion list for the Wikidata project
        <wikidata@lists.wikimedia.org>
Subject: Re: [Wikidata] Indexing all item properties in ElasticSearch
Message-ID:
        <cahtqeep7am9tsnx9qgmcve5onq+mx5z7+rbummx-rwmtsry...@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"

Please, any one let me know about Wikidata project because I dont know
about this.

On Fri, Jul 27, 2018 at 5:29 PM, James Heald <jpm.he...@gmail.com> wrote:

> +1 with Magnus on years of birth and death
> (but perhaps /only/ years of birth and death, or close surrogates eg years
> of baptism and burial, and inception or publication date for things,
> otherwise the search specificity would become useless with too many other
> 'significant event' dates)
>
> I have found in the last few weeks I have been using the External ID value
> search a lot, from its search-box on the talk page of the main page for a
> property.
>
> I'm finding this works very well, so I wonder whether people think that
> the ability to search for one of these strings directly in the general
> search box would actually add anything, or is the custom search eg via the
> talk-page search box already enough?
>
>  -- James.
>
>
>
> On 27/07/2018 12:49, Magnus Manske wrote:
>
>> Hi, and thanks for working on this!
>>
>> My subjective view:
>> * We don't need P2860/P1433 indexed, at least not at the moment
>> * I would really like dates (mainly, born/died), especially if they work
>> for "greater units", that is, I search for a year and get an item back,
>> even though the statament is month- or day-precise
>>
>> Cheers,
>> Magnus
>>
>> On Thu, Jul 26, 2018 at 10:48 PM Stas Malyshev <smalys...@wikimedia.org>
>> wrote:
>>
>> Hi!
>>>
>>> Today we are indexing in ElasticSearch almost all string properties
>>> (except a few) and select item properties (P31 and P279). We've been
>>> asked to extend this set and index more item properties
>>> (https://phabricator.wikimedia.org/T199884). We did not do it from the
>>> start because we did not want to add too much data to the index at once,
>>> and wanted to see how the index behaves. To evaluate what this change
>>> would mean, some statistics:
>>>
>>> All usage of item properties in statements is about 231 million uses
>>> (according to sqid tool database). Of those, about 50M uses are
>>> "instance of" which we are already indexing. Another 98M uses belong to
>>> two properties - published in (P1433) and cites (P2860). Leaving about
>>> 86M for the rest of the properties.
>>>
>>> So, if we index all the item properties except P2860 and P1433, we'll be
>>> a little more than doubling the amount of data we're storing for this
>>> field, which seems OK. But if we index those too, we'll be essentially
>>> quadrupling it - which may be OK too, but is bigger jump and one that
>>> may potentially cause some issues.
>>>
>>> So, we have two questions:
>>> 1. Do we want to enable indexing for all item properties? Note that if
>>> you just want to find items with certain statement values, Wikidata
>>> Query Service matches this use case best. It's only in combination with
>>> actual fulltext search where on-wiki search is better.
>>>
>>> 2. Do we need to index P2860 and P1433 at all, and if so, would it be ok
>>> if we omit indexing for now?
>>>
>>> Would be glad to hear thoughts on the matter.
>>>
>>> Thanks,
>>> --
>>> Stas Malyshev
>>> smalys...@wikimedia.org
>>>
>>> _______________________________________________
>>> Wikidata mailing list
>>> Wikidata@lists.wikimedia.org
>>> https://lists.wikimedia.org/mailman/listinfo/wikidata
>>>
>>>
>>
>>
>> _______________________________________________
>> Wikidata mailing list
>> Wikidata@lists.wikimedia.org
>> https://lists.wikimedia.org/mailman/listinfo/wikidata
>>
>>
>
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>
> _______________________________________________
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>



-- 
Regards,
Sushil Dutt
8800911840
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Message: 3
Date: Fri, 27 Jul 2018 15:31:55 +0200
From: David Causse <dcau...@wikimedia.org>
To: Internal communications for WMF search and discovery team
        <discovery-priv...@lists.wikimedia.org>
Cc: wikidata@lists.wikimedia.org
Subject: Re: [Wikidata] [discovery-private] Indexing all item
        properties in   ElasticSearch
Message-ID:
        <cajkbcoxqx-sbn2u0knhbxytkhc46fxxjzwopfbxv_jetbv0...@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"

Hi,

I think we already index way more than P31 and P279.
For instance we have 102.301.706 (approximation) distinct values in the
term lexicon for statement_keywords.
Sadly I can't extract the list of unique PIDs used (we'd have to enable
field_data on statement_keywords.property).
The top 1000 is:
https://docs.google.com/spreadsheets/d/1E58W_t_o6vTNUAx_TG3ifW6-eZE4KJ2VGEaBX_74YkY/edit?usp=sharing
I think this is because we not only index statements by PID but also by
data type.
So I think that the increase is smaller than what you anticipate.
What I'd try to avoid in general is indexing terms that have only doc since
they are pretty useless.
I think we should investigate what kind of data we may have here, and at
least for statement_keywords I would not index data that contain random
text (esp. natural language) since they are prone to be unique and
impossible to search.


On Thu, Jul 26, 2018 at 11:48 PM Stas Malyshev <smalys...@wikimedia.org>
wrote:

> Hi!
>
> Today we are indexing in ElasticSearch almost all string properties
> (except a few) and select item properties (P31 and P279). We've been
> asked to extend this set and index more item properties
> (https://phabricator.wikimedia.org/T199884). We did not do it from the
> start because we did not want to add too much data to the index at once,
> and wanted to see how the index behaves. To evaluate what this change
> would mean, some statistics:
>
> All usage of item properties in statements is about 231 million uses
> (according to sqid tool database). Of those, about 50M uses are
> "instance of" which we are already indexing. Another 98M uses belong to
> two properties - published in (P1433) and cites (P2860). Leaving about
> 86M for the rest of the properties.
>
> So, if we index all the item properties except P2860 and P1433, we'll be
> a little more than doubling the amount of data we're storing for this
> field, which seems OK. But if we index those too, we'll be essentially
> quadrupling it - which may be OK too, but is bigger jump and one that
> may potentially cause some issues.
>
> So, we have two questions:
> 1. Do we want to enable indexing for all item properties? Note that if
> you just want to find items with certain statement values, Wikidata
> Query Service matches this use case best. It's only in combination with
> actual fulltext search where on-wiki search is better.
>
> 2. Do we need to index P2860 and P1433 at all, and if so, would it be ok
> if we omit indexing for now?
>
> Would be glad to hear thoughts on the matter.
>
> Thanks,
> --
> Stas Malyshev
> smalys...@wikimedia.org
>
> _______________________________________________
> discovery-private mailing list
> discovery-priv...@lists.wikimedia.org
> https://lists.wikimedia.org/mailman/listinfo/discovery-private
>
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Message: 4
Date: Fri, 27 Jul 2018 15:44:12 +0200
From: David Causse <dcau...@wikimedia.org>
To: Internal communications for WMF search and discovery team
        <discovery-priv...@lists.wikimedia.org>
Cc: wikidata@lists.wikimedia.org
Subject: Re: [Wikidata] [discovery-private] Indexing all item
        properties in   ElasticSearch
Message-ID:
        <CAJKbcoVjtyfNBLEN9VzEumB74=z23rmqzejybjcv4_lhzwd...@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"

On Fri, Jul 27, 2018 at 3:31 PM David Causse <dcau...@wikimedia.org> wrote:

> What I'd try to avoid in general is indexing terms that have only doc
> since they are pretty useless.
>

I meant:  that have only *one* doc
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Message: 5
Date: Fri, 27 Jul 2018 15:15:04 +0200
From: Sylvain Boissel <sylv...@ashtree.eu>
To: Discussion list for the Wikidata project
        <wikidata@lists.wikimedia.org>
Subject: Re: [Wikidata] Indexing all item properties in ElasticSearch
Message-ID:
        <capvch_v93p-ut1r-vjofb5zf2z_kzkj0zyafd9tg4ayhb26...@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"

Le ven. 27 juil. 2018 à 14:00, James Heald <jpm.he...@gmail.com> a écrit :

> +1 with Magnus on years of birth and death
> (but perhaps /only/ years of birth and death, or close surrogates eg
> years of baptism and burial, and inception or publication date for
> things, otherwise the search specificity would become useless with too
> many other 'significant event' dates)
>
Maybe just dates as declarations on the item? On 'significant event', dates
are qualifiers.

Ash.
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Message: 6
Date: Fri, 27 Jul 2018 10:34:56 -0700
From: Stas Malyshev <smalys...@wikimedia.org>
To: Discussion list for the Wikidata project
        <wikidata@lists.wikimedia.org>, Magnus Manske
        <magnusman...@googlemail.com>
Cc: Internal communications for WMF search and discovery team
        <discovery-priv...@lists.wikimedia.org>
Subject: Re: [Wikidata] Indexing all item properties in ElasticSearch
Message-ID: <fcfe752d-799d-8830-390d-8ad35507f...@wikimedia.org>
Content-Type: text/plain; charset=utf-8

Hi!

> * I would really like dates (mainly, born/died), especially if they work
> for "greater units", that is, I search for a year and get an item back,
> even though the statament is month- or day-precise

What would be the use case for this?

-- 
Stas Malyshev
smalys...@wikimedia.org



------------------------------

Message: 7
Date: Fri, 27 Jul 2018 10:37:51 -0700
From: Stas Malyshev <smalys...@wikimedia.org>
To: Internal communications for WMF Discovery Department
        <discovery-priv...@lists.wikimedia.org>, David Causse
        <dcau...@wikimedia.org>
Cc: wikidata@lists.wikimedia.org
Subject: Re: [Wikidata] [discovery-private] Indexing all item
        properties in   ElasticSearch
Message-ID: <69c0dd9f-4dd8-c8a3-6873-71f183d9f...@wikimedia.org>
Content-Type: text/plain; charset=utf-8

Hi!

> I think we already index way more than P31 and P279.

Oh yes, all the string properties.

> So I think that the increase is smaller than what you anticipate.
> What I'd try to avoid in general is indexing terms that have only doc
> since they are pretty useless.

For unique string properties, that would be a frequent occurrence. But I
am not sure why it's useless - won't it be a legit use case to look up
something by external ID?

> I think we should investigate what kind of data we may have here, and at
> least for statement_keywords I would not index data that contain random
> text (esp. natural language) since they are prone to be unique and
> impossible to search. 

Yes, we definitely should not do that. I tried to exclude such
properties but if you notice more of them, let's add them to exclusion
config.

-- 
Stas Malyshev
smalys...@wikimedia.org



------------------------------

Message: 8
Date: Fri, 27 Jul 2018 23:33:05 +0100
From: James Heald <jpm.he...@gmail.com>
To: Discussion list for the Wikidata project
        <wikidata@lists.wikimedia.org>, Stas Malyshev
        <smalys...@wikimedia.org>, Magnus Manske <magnusman...@googlemail.com>
Cc: Internal communications for WMF search and discovery team
        <discovery-priv...@lists.wikimedia.org>
Subject: Re: [Wikidata] Indexing all item properties in ElasticSearch
Message-ID: <fcbf833d-9bf5-fce7-fa47-d275a0c0b...@gmail.com>
Content-Type: text/plain; charset=utf-8; format=flowed

On 27/07/2018 18:34, Stas Malyshev wrote:
> Hi!
> 
>> * I would really like dates (mainly, born/died), especially if they work
>> for "greater units", that is, I search for a year and get an item back,
>> even though the statament is month- or day-precise
> 
> What would be the use case for this?
> 

The use case is to be able to look up  "John Smith 1820 1897" and have 
some hope of finding the one you want...



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------------------------------

Message: 9
Date: Fri, 27 Jul 2018 17:02:28 -0700
From: Stas Malyshev <smalys...@wikimedia.org>
To: Internal communications for WMF Discovery Department
        <discovery-priv...@lists.wikimedia.org>, David Causse
        <dcau...@wikimedia.org>
Cc: wikidata@lists.wikimedia.org
Subject: Re: [Wikidata] [discovery-private] Indexing all item
        properties in   ElasticSearch
Message-ID: <451cfbb7-9a71-7ef8-cdda-70c83f71b...@wikimedia.org>
Content-Type: text/plain; charset=utf-8

Hi!

> The top 1000
> is: 
> https://docs.google.com/spreadsheets/d/1E58W_t_o6vTNUAx_TG3ifW6-eZE4KJ2VGEaBX_74YkY/edit?usp=sharing

This one is pretty interesting, how do I extract this data? It may be
useful independently of what we're discussing here.
-- 
Stas Malyshev
smalys...@wikimedia.org



------------------------------

Message: 10
Date: Fri, 27 Jul 2018 17:12:10 -0700
From: Stas Malyshev <smalys...@wikimedia.org>
To: Discussion list for the Wikidata project
        <wikidata@lists.wikimedia.org>, "Hay (Husky)" <hus...@gmail.com>
Subject: Re: [Wikidata] Indexing all item properties in ElasticSearch
Message-ID: <793c305c-3b57-ef45-4b19-961566d4e...@wikimedia.org>
Content-Type: text/plain; charset=utf-8

Hi!

> I could definitely see a usecase for 1) and maybe for 2). For example,
> let's say i remember that one movie that Rutger Hauer played in, just
> searching for 'movie rutger hauer' gives back nothing:
> 
> https://www.wikidata.org/w/index.php?search=movie+rutger+hauer
> 
> While Wikipedia gives back quite a nice list of options:
> 
> https://en.wikipedia.org/w/index.php?search=movie+rutger+hauer

Well, this is not going to change with the work we're discussing. The
reason you don't get anything from Wikidata is because "movie" and
"rutger hauer" are labels from different documents and ElasticSearch
does not do joins. We only index each document in itself, and possibly
some additional data, but indexing labels from other documents is now
beyond what we're doing. We could certainly discuss it but that would be
separate (and much bigger) discussion.

> If we would index item properties as well, you could get back Blade
> Runner (Q184843) which has Rutger Hauer as one of its 'cast member'
> values.

You could, but not by asking something like "movie rutger hauer", at
least not without a lot of additional work. Indexing "cast member" would
get you a step closer, but only a tiny step and there are a number of
other steps to take before that can work.
-- 
Stas Malyshev
smalys...@wikimedia.org



------------------------------

Message: 11
Date: Fri, 27 Jul 2018 17:16:47 -0700
From: Stas Malyshev <smalys...@wikimedia.org>
To: Discussion list for the Wikidata project
        <wikidata@lists.wikimedia.org>, Magnus Manske
        <magnusman...@googlemail.com>
Cc: Internal communications for WMF search and discovery team
        <discovery-priv...@lists.wikimedia.org>
Subject: Re: [Wikidata] Indexing all item properties in ElasticSearch
Message-ID: <07ea18a4-4edc-a6c5-8b3a-2799ea107...@wikimedia.org>
Content-Type: text/plain; charset=utf-8

Hi!

> * I would really like dates (mainly, born/died), especially if they work
> for "greater units", that is, I search for a year and get an item back,
> even though the statament is month- or day-precise

This is something I've been thinking about for a while, mainly because
the way we index dates now does not serve some important use cases. Even
in the Query Service we treat dates as fixed instants on the time scale,
whereas some dates are not instants but intervals (which in captured in
wikidata Precision but we are currently not paying any attention to it),
in fact many of the dates we use are more of interval-y nature than
instant-y.

This makes searching for "somebody that was born in 1820" possible but
laborious (you need to do intervals manually) and inefficient since we
can't just look up by year.

There are certainly improvement possible in this area, not yet sure how
to do it though.

-- 
Stas Malyshev
smalys...@wikimedia.org



------------------------------

Message: 12
Date: Sat, 28 Jul 2018 12:42:52 +0200
From: David Causse <dcau...@wikimedia.org>
To: Stas Malyshev <smalys...@wikimedia.org>
Cc: Internal communications for WMF search and discovery team
        <discovery-priv...@lists.wikimedia.org>, wikidata@lists.wikimedia.org
Subject: Re: [Wikidata] [discovery-private] Indexing all item
        properties in   ElasticSearch
Message-ID:
        <cajkbcougdcb5dvksigqkn49sbf8rr3b+4_b7uzgts0bhejf...@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"

On Sat, Jul 28, 2018 at 2:02 AM Stas Malyshev <smalys...@wikimedia.org>
wrote:

> Hi!
>
> > The top 1000
> > is:
> https://docs.google.com/spreadsheets/d/1E58W_t_o6vTNUAx_TG3ifW6-eZE4KJ2VGEaBX_74YkY/edit?usp=sharing
>
> This one is pretty interesting, how do I extract this data? It may be
> useful independently of what we're discussing here.
>

This can be extracted from elastic using aggregations, to obtain a top1000
of the terms that do match P21= or P279 you can run this:
 curl -XPOST 'localhost:9200/wikidatawiki_content/_search?size=0&pretty' -d
'{"aggs": {"item_usage": { "terms": { "field": "statement_keywords",
"exclude": "P(31|279)=.*", "size": 1000 }}}}' > top1k.json

To obtain an approximation of the cardinality (unique terms) of a field:

curl -XPOST localhost:9200/wikidatawiki_content/_search?size=0 -d '{"aggs":
{"item_usage": { "cardinality": { "field": "statement_keywords" }}}}'

Note that I used the spare cluster to run these.
As for Property usage I just realized that we the outgoing_link which
contains a array like:
outgoing_link": ["Q1355298","Q1379672","Q15241312","Q8844594","Property:P18"
,"Property:P1889","Property:P248","Property:P2612","Property:P279","
Property:P3221","Property:P3417","Property:P373","Property:P3827","
Property:P577","Property:P646","Property:P910"],
We don't have doc values enabled for this one so we can't extract
aggregations but if the list of terms is known it could be easily extracted
by running X count queries where X is the number of possible possible
properties.
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Message: 13
Date: Sat, 28 Jul 2018 13:13:29 +0200
From: Ettore RIZZA <ettoreri...@gmail.com>
To: "Discussion list for the Wikidata project."
        <wikidata@lists.wikimedia.org>
Subject: Re: [Wikidata] Wikidata in the LOD Cloud
Message-ID:
        <CAGq-doprdkAD0ww4XOdP3YG=oacpdr3bod-vu-t3zqcsfn+...@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"

Dear all,

stop me if my question is naive or stupid. But I see that a dataset like
Europeana is both in the Lod Cloud and as a property in Wikidata
<https://www.wikidata.org/wiki/Property:P727>. However, the method using
the "Formatter URL for RDF resource" property does not work because this
property is missing from Europeana ID. How many other cases like this?

But I see in this simplified version of the Lod Cloud
<https://jqplay.org/s/bgiJvPKryC> that each dataset has a namespace. Would
not it be more efficient to match Wikidata and Lod Cloud using this
namespaces in a series of Sparql queries <http://tinyurl.com/y8taazzm>?

Cheers,

Ettore

On Mon, 9 Jul 2018 at 14:07, Lucas Werkmeister <m...@lucaswerkmeister.de>
wrote:

> On 27.06.2018 22:40, Federico Leva (Nemo) wrote:
> > Maarten Dammers, 27/06/2018 23:26:
> >> Excellent news! https://lod-cloud.net/dataset/wikidata seems to
> >> contain the info in a more human readable (and machine readable) way.
> >> If we add some URI link, does it automagically appear or does Lucas
> >> has to do some manual work? I assume Lucas has to do some manual work.
> >
> > I'd also be curious what to do when a property does not have a node in
> > the LOD cloud, for instance P2948 is among the 77 results for P1921
> > but I don't see any corresponding URL in
> > http://lod-cloud.net/versions/2018-30-05/lod-data.json
>
> Previously it was manual work, yes, and for properties not in the LOD
> cloud I added commented-out entries to the page source of
> https://www.wikidata.org/wiki/User:Lucas_Werkmeister_(WMDE)/LOD_Cloud.
> I’ll try to resubmit Wikidata now and see how the submission process has
> evolved.
>
> Cheers, Lucas
>
> _______________________________________________
> Wikidata mailing list
> Wikidata@lists.wikimedia.org
> https://lists.wikimedia.org/mailman/listinfo/wikidata
>
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End of Wikidata Digest, Vol 80, Issue 24
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