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Facto Post – Issue 22 – 28 March 2019

Facto Post – Issue 22 – 28 March 2019

The Editor is Charles Matthews, for ContentMine. Please leave feedback for him, on his User talk page.
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When in the cloud, do as the APIs do

Half a century ago, it was the era of the mainframe computer, with its air-conditioned room, twitching tape-drives, and appearance in the title of a spy novel Billion-Dollar Brain then made into a Hollywood film. Now we have the cloud, with server farms and the client–server model as quotidian: this text is being typed on a Chromebook.

File:Cloud-API-Logo.svg
Logo of Cloud API on Google Cloud Platform

The term Applications Programming Interface or API is 50 years old, and refers to a type of software library as well as the interface to its use. While a compiler is what you need to get high-level code executed by a mainframe, an API out in the cloud somewhere offers a chance to perform operations on a remote server. For example, the multifarious bots active on Wikipedia have owners who exploit the MediaWiki API.

APIs (called RESTful) that allow for the GET HTTP request are fundamental for what could colloquially be called "moving data around the Web"; from which Wikidata benefits 24/7. So the fact that the Wikidata SPARQL endpoint at query.wikidata.org has a RESTful API means that, in lay terms, Wikidata content can be GOT from it. The programming involved, besides the SPARQL language, could be in Python, younger by a few months than the Web.

Magic words, such as occur in fantasy stories, are wishful (rather than RESTful) solutions to gaining access. You may need to be a linguist to enter Ali Baba's cave or the western door of Moria (French in the case of "Open Sesame", in fact, and Sindarin being the respective languages). Talking to an API requires a bigger toolkit, which first means you have to recognise the tools in terms of what they can do. On the way to the wikt:impactful or polymathic modern handling of facts, one must perhaps take only tactful notice of tech's endemic problem with documentation, and absorb the insightful point that the code in APIs does articulate the customary procedures now in place on the cloud for getting information. As Owl explained to Winnie-the-Pooh, it tells you The Thing to Do.

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MediaWiki message delivery (talk) 11:45, 28 March 2019 (UTC)

Bring your idea for Wikimedia in Education to life! Launch of the Wikimedia Education Greenhouse

Apply for Education Greenhouse


Are you passionate about open education? Do you have an idea to apply Wikimedia projects to an education initiative but don’t know where to start? Join the the Wikimedia & Education Greenhouse! It is an immersive co-learning experience that lasts 9 months and will equip you with the skills, knowledge and support you need to bring your ideas to life. You can apply as a team or as an individual, by May 12th. Find out more Education Greenhouse. For more information reachout to mguadalupe@wikimedia.org

MediaWiki message delivery (talk) 11:16, 5 April 2019 (UTC)

York Gate Library

Hi, Pru, good to chat to you on Sunday. The library I mentioned is the York Gate Library. It is part of the library of the Royal Geographical Society of South Australia, who may be interested in some sort of engagement? If you type "York Gate" into the search page of their catalogue you get 1,584 results generally as Provenance:York Gate Library. Some of these have links to full texts on the Internet Archive (although the link I used was dead, but I still found the item on the internet archive. Picking an item at random, Pictures of the English in Queen Elizabeth's reign I found that

a) it was also available online here and is mentioned on Wikisource item here
b) they have interesting data about the volume, which, if they were amenable could be perhaps be exported and incorporated into Wikidata in some way (I am afraid I don't know about the practicalities of such things.
c) they rely on volunteer librarians

The original catalogue of 1898 is available here. My feeling is if this was approached simultaneously from different angles, it would be possible to enable individual editors to add material around their specific interests, as well as managing mass data imports into Wikidata which would provide a framework which would enhance these individual efforts and, perhaps after a while, enable us to better understand the impact of the arrival of the library in Australia and its impact on the intellectual life of Adelaide. Leutha (talk) 12:01, 16 April 2019 (UTC)

This Month in Education: April 2019

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Facto Post – Issue 23 – 30 April 2019

Facto Post – Issue 23 – 30 April 2019

The Editor is Charles Matthews, for ContentMine. Please leave feedback for him, on his User talk page.
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Completely clouded?
Cloud computing logo

Talk of cloud computing draws a veil over hardware, but also, less obviously but more importantly, obscures such intellectual distinction as matters most in its use. Wikidata begins to allow tasks to be undertaken that were out of easy reach. The facility should not be taken as the real point.

Coming in from another angle, the "executive decision" is more glamorous; but the "administrative decision" should be admired for its command of facts. Think of the attitudes ad fontes, so prevalent here on Wikipedia as "can you give me a source for that?", and being prepared to deal with complicated analyses into specified subcases. Impatience expressed as a disdain for such pedantry is quite understandable, but neither dirty data nor false dichotomies are at all good to have around.

Issue 13 and Issue 21, respectively on WP:MEDRS and systematic reviews, talk about biomedical literature and computing tasks that would be of higher quality if they could be made more "administrative". For example, it is desirable that the decisions involved be consistent, explicable, and reproducible by non-experts from specified inputs.

What gets clouded out is not impossibly hard to understand. You do need to put together the insights of functional programming, which is a doctrinaire and purist but clearcut approach, with the practicality of office software. Loopless computation can be conceived of as a seamless forward march of spreadsheet columns, each determined by the content of previous ones. Very well: to do a backward audit, when now we are talking about Wikidata, we rely on integrity of data and its scrupulous sourcing: and clearcut case analyses. The MEDRS example forces attention on purge attempts such as Beall's list.

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MediaWiki message delivery (talk) 11:27, 30 April 2019 (UTC)

Facto Post – Issue 24 – 17 May 2019

Facto Post – Issue 24 – 17 May 2019
Text mining display of noun phrases from the US Presidential Election 2012

The Editor is Charles Matthews, for ContentMine. Please leave feedback for him, on his User talk page.
To subscribe to Facto Post go to Wikipedia:Facto Post mailing list. For the ways to unsubscribe, see the footer.
Semantic Web and TDM – a ContentMine view

Two dozen issues, and this may be the last, a valediction at least for a while.

It's time for a two-year summation of ContentMine projects involving TDM (text and data mining).

Wikidata and now Structured Data on Commons represent the overlap of Wikimedia with the Semantic Web. This common ground is helping to convert an engineering concept into a movement. TDM generally has little enough connection with the Semantic Web, being instead in the orbit of machine learning which is no respecter of the semantic. Don't break a taboo by asking bots "and what do you mean by that?"

The ScienceSource project innovates in TDM, by storing its text mining results in a Wikibase site. It strives for compliance of its fact mining, on drug treatments of diseases, with an automated form of the relevant Wikipedia referencing guideline MEDRS. Where WikiFactMine set up an API for reuse of its results, ScienceSource has a SPARQL query service, with look-and-feel exactly that of Wikidata's at query.wikidata.org. It also now has a custom front end, and its content can be federated, in other words used in data mashups: it is one of over 50 sites that can federate with Wikidata.

The human factor comes to bear through the front end, which combines a link to the HTML version of a paper, text mining results organised in drug and disease columns, and a SPARQL display of nearby drug and disease terms. Much software to develop and explain, so little time! Rather than telling the tale, Facto Post brings you ScienceSource links, starting from the how-to video, lower right.

ScienceSourceReview, introductory video: but you need run it from the original upload file on Commons
Links for participation

The review tool requires a log in on sciencesource.wmflabs.org, and an OAuth permission (bottom of a review page) to operate. It can be used in simple and more advanced workflows. Examples of queries for the latter are at d:Wikidata_talk:ScienceSource project/Queries#SS_disease_list and d:Wikidata_talk:ScienceSource_project/Queries#NDF-RT issue.

Please be aware that this is a research project in development, and may have outages for planned maintenance. That will apply for the next few days, at least. The ScienceSource wiki main page carries information on practical matters. Email is not enabled on the wiki: use site mail here to Charles Matthews in case of difficulty, or if you need support. Further explanatory videos will be put into commons:Category:ContentMine videos.


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MediaWiki message delivery (talk) 18:52, 17 May 2019 (UTC)

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This Month in Education: May 2019

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This Month in Education: June 2019

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August 2019 at Women in Red

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This Month in Education: July 2019

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September 2019 at Women in Red

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This Month in Education: August 2019

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This Month in Education: September 2019

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Archiving

Added. :) You might also want to check out User:Technical 13/Scripts/OneClickArchiver as a semi-automated solution. - Bilby (talk) 07:21, 6 March 2020 (UTC)