Good eye edit

Nice editing on history of artificial intelligence. ---- CharlesGillingham 12:10, 26 September 2007 (UTC)Reply

Thanks Charles, I'm just doing the fussy grammatical fiddling around the edges though - great work on rewriting the article in the first place, which is currently serving as my jumping off point for exploring AI (I ordered the Crevier book last night).--JustinClarkCasey 13:38, 26 September 2007 (UTC)Reply
I have to warn to you -- most of the introductory AI articles in Wikipedia are in pretty bad shape (such as artificial intelligence, philosophy of artificial intelligence, etc). A lot of material is unreferenced seems to be based on science fiction, futurism, or just plain original research. They start to get more reliable when you get down to a specific technical subject (like the frame problem or logic programming). ---- CharlesGillingham 16:48, 26 September 2007 (UTC)Reply

Facto Post – Issue 2 – 13 July 2017 edit

Facto Post – Issue 2 – 13 July 2017
 

Editorial: Core models and topics edit

Wikimedians interest themselves in everything under the sun — and then some. Discussion on "core topics" may, oddly, be a fringe activity, and was popular here a decade ago.

The situation on Wikidata today does resemble the halcyon days of 2006 of the English Wikipedia. The growth is there, and the reliability and stylistic issues are not yet pressing in on the project. Its Berlin conference at the end of October will have five years of achievement to celebrate. Think Wikimania Frankfurt 2005.

Progress must be made, however, on referencing "core facts". This has two parts: replacing "imported from Wikipedia" in referencing by external authorities; and picking out statements, such as dates and family relationships, that must not only be reliable but be seen to be reliable.

In addition, there are many properties on Wikidata lacking a clear data model. An emerging consensus may push to the front key sourcing and biomedical properties as requiring urgent attention. Wikidata's "manual of style" is currently distributed over thousands of discussions. To make it coalesce, work on such a core is needed.

Links edit


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Facto Post – Issue 12 – 28 May 2018 edit

Facto Post – Issue 12 – 28 May 2018
 

ScienceSource funded edit

The Wikimedia Foundation announced full funding of the ScienceSource grant proposal from ContentMine on May 18. See the ScienceSource Twitter announcement and 60 second video.

A medical canon?

The proposal includes downloading 30,000 open access papers, aiming (roughly speaking) to create a baseline for medical referencing on Wikipedia. It leaves open the question of how these are to be chosen.

The basic criteria of WP:MEDRS include a concentration on secondary literature. Attention has to be given to the long tail of diseases that receive less current research. The MEDRS guideline supposes that edge cases will have to be handled, and the premature exclusion of publications that would be in those marginal positions would reduce the value of the collection. Prophylaxis misses the point that gate-keeping will be done by an algorithm.

Two well-known but rather different areas where such considerations apply are tropical diseases and alternative medicine. There are also a number of potential downloading troubles, and these were mentioned in Issue 11. There is likely to be a gap, even with the guideline, between conditions taken to be necessary but not sufficient, and conditions sufficient but not necessary, for candidate papers to be included. With around 10,000 recognised medical conditions in standard lists, being comprehensive is demanding. With all of these aspects of the task, ScienceSource will seek community help.

Links edit

 
OpenRefine logo, courtesy of Google

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MediaWiki message delivery (talk) 10:16, 28 May 2018 (UTC)Reply

Facto Post – Issue 13 – 29 May 2018 edit

Facto Post – Issue 13 – 29 May 2018
 

The Editor is Charles Matthews, for ContentMine. Please leave feedback for him, on his User talk page.
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Respecting MEDRS

Facto Post enters its second year, with a Cambridge Blue (OK, Aquamarine) background, a new logo, but no Cambridge blues. On-topic for the ScienceSource project is a project page here. It contains some case studies on how the WP:MEDRS guideline, for the referencing of articles at all related to human health, is applied in typical discussions.

Close to home also, a template, called {{medrs}} for short, is used to express dissatisfaction with particular references. Technology can help with patrolling, and this Petscan query finds over 450 articles where there is at least one use of the template. Of course the template is merely suggesting there is a possible issue with the reliability of a reference. Deciding the truth of the allegation is another matter.

This maintenance issue is one example of where ScienceSource aims to help. Where the reference is to a scientific paper, its type of algorithm could give a pass/fail opinion on such references. It could assist patrollers of medical articles, therefore, with the templated references and more generally. There may be more to proper referencing than that, indeed: context, quite what the statement supported by the reference expresses, prominence and weight. For that kind of consideration, case studies can help. But an algorithm might help to clear the backlog.

 
Evidence pyramid leading up to clinical guidelines, from WP:MEDRS
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MediaWiki message delivery (talk) 18:19, 29 June 2018 (UTC)Reply

Whole Genome Amplification edit

When starting an article, it can be a good idea to do this as a draft. For example: Draft:Whole Genome Amplification. You can then move the page to the main article area once it is at a reasonable standard. — Frayæ (Talk/Spjall) 12:58, 7 July 2018 (UTC)Reply

  • Yeah, unfortunately I just don't have the time to write proper articles. The best I can generally do is write stubs for things that I think should exist and hope other people help out over time (and I generally do this myself by making small edits to established pages). JustinClarkCasey (talk) 15:45, 7 July 2018 (UTC)Reply
  • Yes I see. Just a tip but consider adding a reference section with reflist template and at least one category and a stub template as a bare minimum. Like the following:

==References==

{{Reflist}}

[[Category:Science]]

{{stub}}

These are the basic building blocks of articles, and your article is not a complete stub without them. I took it to be unfinished or unsuitable as a result. This is not the ideal situation. — Frayæ (Talk/Spjall) 18:51, 7 July 2018 (UTC)Reply

Whole Genome Amplification moved to draftspace edit

An article you recently created, Whole Genome Amplification, does not have enough sources and citations as written to remain published. It needs more citations from reliable, independent sources. (?) Information that can't be referenced should be removed (verifiability is of central importance on Wikipedia). I've moved your draft to draftspace (with a prefix of "Draft:" before the article title) where you can incubate the article with minimal disruption. When you feel the article meets Wikipedia's general notability guideline and thus is ready for mainspace, please follow the confirms on the Articles for Creation template atop the page. The editor whose username is Z0 14:22, 8 July 2018 (UTC)Reply

Note on adding unsourced content edit

 

Hey, I'm Z0. I noticed that you added content to an article but didn't provide a reliable source. You should cite a reliable source for all of your edits so that they can be verified. In Wikipedia, verifiability means that other people using the encyclopedia can check that the information comes from a reliable source. Adding unsourced content contravenes Wikipedia's policy on verifiability. If you need guidance on referencing, please see the referencing for beginners tutorial.

Wikipedia does not publish original research, which refers to material—such as facts, allegations, ideas, and personal experiences—for which no reliable, published sources exist. Its content is determined by previously published information rather than the beliefs or experiences of its editors. Even if you're sure something is true, it must be verifiable before you can add it. The verifiability policy requires inline citations for any material challenged or likely to be challenged, and for all quotations, anywhere in article space. Articles should be based on reliable and published sources (see Wikipedia:Neutral point of view) and if no reliable sources can be found on a topic, Wikipedia should not have an article on it.

Please review the guidelines at Wikipedia:Citing sources and take this opportunity to add references to the article. The editor whose username is Z0 14:22, 8 July 2018 (UTC)Reply

> There was, admittedly only one and behind a paywall, reliable source. Unfortunately, I'm almost certainly never going to get the time to revisit this topic and I'm not an article writer, so I guess eventually somebody else will create it. JustinClarkCasey (talk) 15:09, 9 July 2018 (UTC)Reply

Facto Post – Issue 14 – 21 July 2018 edit

Facto Post – Issue 14 – 21 July 2018
 

The Editor is Charles Matthews, for ContentMine. Please leave feedback for him, on his User talk page.
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Plugging the gaps – Wikimania report

Officially it is "bridging the gaps in knowledge", with Wikimania 2018 in Cape Town paying tribute to the southern African concept of ubuntu to implement it. Besides face-to-face interactions, Wikimedians do need their power sources.

 
Hackathon mentoring table wiring

Facto Post interviewed Jdforrester, who has attended every Wikimania, and now works as Senior Product Manager for the Wikimedia Foundation. His take on tackling the gaps in the Wikimedia movement is that "if we were an army, we could march in a column and close up all the gaps". In his view though, that is a faulty metaphor, and it leads to a completely false misunderstanding of the movement, its diversity and different aspirations, and the nature of the work as "fighting" to be done in the open sector. There are many fronts, and as an eventualist he feels the gaps experienced both by editors and by users of Wikimedia content are inevitable. He would like to see a greater emphasis on reuse of content, not simply its volume.

If that may not sound like radicalism, the Decolonizing the Internet conference here organized jointly with Whose Knowledge? can redress the picture. It comes with the claim to be "the first ever conference about centering marginalized knowledge online".

 
Plugbar buildup at the Hackathon
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MediaWiki message delivery (talk) 06:10, 21 July 2018 (UTC)Reply

Facto Post – Issue 15 – 21 August 2018 edit

Facto Post – Issue 15 – 21 August 2018
 

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Neglected diseases
 
Anti-parasitic drugs being distributed in Côte d'Ivoire
What's a Neglected Disease?, ScienceSource video

To grasp the nettle, there are rare diseases, there are tropical diseases and then there are "neglected diseases". Evidently a rare enough disease is likely to be neglected, but neglected disease these days means a disease not rare, but tropical, and most often infectious or parasitic. Rare diseases as a group are dominated, in contrast, by genetic diseases.

A major aspect of neglect is found in tracking drug discovery. Orphan drugs are those developed to treat rare diseases (rare enough not to have market-driven research), but there is some overlap in practice with the WHO's neglected diseases, where snakebite, a "neglected public health issue", is on the list.

From an encyclopedic point of view, lack of research also may mean lack of high-quality references: the core medical literature differs from primary research, since it operates by aggregating trials. This bibliographic deficit clearly hinders Wikipedia's mission. The ScienceSource project is currently addressing this issue, on Wikidata. Its Wikidata focus list at WD:SSFL is trying to ensure that neglect does not turn into bias in its selection of science papers.

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MediaWiki message delivery (talk) 13:23, 21 August 2018 (UTC)Reply

Facto Post – Issue 16 – 30 September 2018 edit

Facto Post – Issue 16 – 30 September 2018
 

The Editor is Charles Matthews, for ContentMine. Please leave feedback for him, on his User talk page.
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The science publishing landscape
 

In an ideal world ... no, bear with your editor for just a minute ... there would be a format for scientific publishing online that was as much a standard as SI units are for the content. Likewise cataloguing publications would not be onerous, because part of the process would be to generate uniform metadata. Without claiming it could be the mythical free lunch, it might be reasonably be argued that sandwiches can be packaged much alike and have barcodes, whatever the fillings.

The best on offer, to stretch the metaphor, is the meal kit option, in the form of XML. Where scientific papers are delivered as XML downloads, you get all the ingredients ready to cook. But have to prepare the actual meal of slow food yourself. See Scholarly HTML for a recent pass at heading off XML with HTML, in other words in the native language of the Web.

The argument from real life is a traditional mixture of frictional forces, vested interests, and the classic irony of the principle of unripe time. On the other hand, discoverability actually diminishes with the prolific progress of science publishing. No, it really doesn't scale. Wikimedia as movement can do something in such cases. We know from open access, we grok the Web, we have our own horse in the HTML race, we have Wikidata and WikiJournal, and we have the chops to act.

 
Links

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MediaWiki message delivery (talk) 17:57, 30 September 2018 (UTC)Reply

Facto Post – Issue 17 – 29 October 2018 edit

Facto Post – Issue 17 – 29 October 2018
 

The Editor is Charles Matthews, for ContentMine. Please leave feedback for him, on his User talk page.
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Wikidata imaged

Around 2.7 million Wikidata items have an illustrative image. These files, you might say, are Wikimedia's stock images, and if the number is large, it is still only 5% or so of items that have one. All such images are taken from Wikimedia Commons, which has 50 million media files. One key issue is how to expand the stock.

Indeed, there is a tool. WD-FIST exploits the fact that each Wikipedia is differently illustrated, mostly with images from Commons but also with fair use images. An item that has sitelinks but no illustrative image can be tested to see if the linked wikis have a suitable one. This works well for a volunteer who wants to add images at a reasonable scale, and a small amount of SPARQL knowledge goes a long way in producing checklists.

 
Gran Teatro, Cáceres, Spain, at night

It should be noted, though, that there are currently 53 Wikidata properties that link to Commons, of which P18 for the basic image is just one. WD-FIST prompts the user to add signatures, plaques, pictures of graves and so on. There are a couple of hundred monograms, mostly of historical figures, and this query allows you to view all of them. commons:Category:Monograms and its subcategories provide rich scope for adding more.

And so it is generally. The list of properties linking to Commons does contain a few that concern video and audio files, and rather more for maps. But it contains gems such as P3451 for "nighttime view". Over 1000 of those on Wikidata, but as for so much else, there could be yet more.

Go on. Today is Wikidata's birthday. An illustrative image is always an acceptable gift, so why not add one? You can follow these easy steps: (i) log in at https://tools.wmflabs.org/widar/, (ii) paste the Petscan ID 6263583 into https://tools.wmflabs.org/fist/wdfist/ and click run, and (iii) just add cake.

 
Birthday logo
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MediaWiki message delivery (talk) 15:01, 29 October 2018 (UTC)Reply

ArbCom 2018 election voter message edit

Hello, JustinClarkCasey. Voting in the 2018 Arbitration Committee elections is now open until 23.59 on Sunday, 3 December. All users who registered an account before Sunday, 28 October 2018, made at least 150 mainspace edits before Thursday, 1 November 2018 and are not currently blocked are eligible to vote. Users with alternate accounts may only vote once.

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Facto Post – Issue 18 – 30 November 2018 edit

Facto Post – Issue 18 – 30 November 2018
 

The Editor is Charles Matthews, for ContentMine. Please leave feedback for him, on his User talk page.
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WikiCite issue

GLAM ♥ data — what is a gallery, library, archive or museum without a catalogue? It follows that Wikidata must love librarians. Bibliography supports students and researchers in any topic, but open and machine-readable bibliographic data even more so, outside the silo. Cue the WikiCite initiative, which was meeting in conference this week, in the Bay Area of California.

 
Wikidata training for librarians at WikiCite 2018

In fact there is a broad scope: "Open Knowledge Maps via SPARQL" and the "Sum of All Welsh Literature", identification of research outputs, Library.Link Network and Bibframe 2.0, OSCAR and LUCINDA (who they?), OCLC and Scholia, all these co-exist on the agenda. Certainly more library science is coming Wikidata's way. That poses the question about the other direction: is more Wikimedia technology advancing on libraries? Good point.

Wikimedians generally are not aware of the tech background that can be assumed, unless they are close to current training for librarians. A baseline definition is useful here: "bash, git and OpenRefine". Compare and contrast with pywikibot, GitHub and mix'n'match. Translation: scripting for automation, version control, data set matching and wrangling in the large, are on the agenda also for contemporary library work. Certainly there is some possible common ground here. Time to understand rather more about the motivations that operate in the library sector.

Links

Account creation is now open on the ScienceSource wiki, where you can see SPARQL visualisations of text mining.

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MediaWiki message delivery (talk) 11:20, 30 November 2018 (UTC)Reply

Facto Post – Issue 19 – 27 December 2018 edit

Facto Post – Issue 19 – 27 December 2018
 

The Editor is Charles Matthews, for ContentMine. Please leave feedback for him, on his User talk page.
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Learning from Zotero

Zotero is free software for reference management by the Center for History and New Media: see Wikipedia:Citing sources with Zotero. It is also an active user community, and has broad-based language support.

 
Zotero logo

Besides the handiness of Zotero's warehousing of personal citation collections, the Zotero translator underlies the citoid service, at work behind the VisualEditor. Metadata from Wikidata can be imported into Zotero; and in the other direction the zotkat tool from the University of Mannheim allows Zotero bibliographies to be exported to Wikidata, by item creation. With an extra feature to add statements, that route could lead to much development of the focus list (P5008) tagging on Wikidata, by WikiProjects.

Zotero demo video

There is also a large-scale encyclopedic dimension here. The construction of Zotero translators is one facet of Web scraping that has a strong community and open source basis. In that it resembles the less formal mix'n'match import community, and growing networks around other approaches that can integrate datasets into Wikidata, such as the use of OpenRefine.

Looking ahead, the thirtieth birthday of the World Wide Web falls in 2019, and yet the ambition to make webpages routinely readable by machines can still seem an ever-retreating mirage. Wikidata should not only be helping Wikimedia integrate its projects, an ongoing process represented by Structured Data on Commons and lexemes. It should also be acting as a catalyst to bring scraping in from the cold, with institutional strengths as well as resourceful code.

Links

Diversitech, the latest ContentMine grant application to the Wikimedia Foundation, is in its community review stage until January 2.

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MediaWiki message delivery (talk) 19:08, 27 December 2018 (UTC)Reply

Facto Post – Issue 20 – 31 January 2019 edit

Facto Post – Issue 20 – 31 January 2019
 

The Editor is Charles Matthews, for ContentMine. Please leave feedback for him, on his User talk page.
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Everything flows (and certainly data does)

Recently Jimmy Wales has made the point that computer home assistants take much of their data from Wikipedia, one way or another. So as well as getting Spotify to play Frosty the Snowman for you, they may be able to answer the question "is the Pope Catholic?" Possibly by asking for disambiguation (Coptic?).

Amazon Echo device using the Amazon Alexa service in voice search showdown with the Google rival on an Android phone

Headlines about data breaches are now familiar, but the unannounced circulation of information raises other issues. One of those is Gresham's law stated as "bad data drives out good". Wikipedia and now Wikidata have been criticised on related grounds: what if their content, unattributed, is taken to have a higher standing than Wikimedians themselves would grant it? See Wikiquote on a misattribution to Bismarck for the usual quip about "law and sausages", and why one shouldn't watch them in the making.

Wikipedia has now turned 18, so should act like as adult, as well as being treated like one. The Web itself turns 30 some time between March and November this year, per Tim Berners-Lee. If the Knowledge Graph by Google exemplifies Heraclitean Web technology gaining authority, contra GIGO, Wikimedians still have a role in its critique. But not just with the teenage skill of detecting phoniness.

There is more to beating Gresham than exposing the factoid and urban myth, where WP:V does do a great job. Placeholders must be detected, and working with Wikidata is a good way to understand how having one statement as data can blind us to replacing it by a more accurate one. An example that is important to open access is that, firstly, the term itself needs considerable unpacking, because just being able to read material online is a poor relation of "open"; and secondly, trying to get Creative Commons license information into Wikidata shows up issues with classes of license (such as CC-BY) standing for the actual license in major repositories. Detailed investigation shows that "everything flows" exacerbates the issue. But Wikidata can solve it.

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MediaWiki message delivery (talk) 10:53, 31 January 2019 (UTC)Reply

Facto Post – Issue 21 – 28 February 2019 edit

Facto Post – Issue 21 – 28 February 2019
 

The Editor is Charles Matthews, for ContentMine. Please leave feedback for him, on his User talk page.
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What is a systematic review?

Systematic reviews are basic building blocks of evidence-based medicine, surveys of existing literature devoted typically to a definite question that aim to bring out scientific conclusions. They are principled in a way Wikipedians can appreciate, taking a critical view of their sources.

 
PRISMA flow diagram for a systematic review

Ben Goldacre in 2014 wrote (link below) "[...] : the "information architecture" of evidence based medicine (if you can tolerate such a phrase) is a chaotic, ad hoc, poorly connected ecosystem of legacy projects. In some respects the whole show is still run on paper, like it's the 19th century." Is there a Wikidatan in the house? Wouldn't some machine-readable content that is structured data help?

File:Schittny, Facing East, 2011, Legacy Projects.jpg
2011 photograph by Bernard Schittny of the "Legacy Projects" group

Most likely it would, but the arcana of systematic reviews and how they add value would still need formal handling. The PRISMA standard dates from 2009, with an update started in 2018. The concerns there include the corpus of papers used: how selected and filtered? Now that Wikidata has a 20.9 million item bibliography, one can at least pose questions. Each systematic review is a tagging opportunity for a bibliography. Could that tagging be reproduced by a query, in principle? Can it even be second-guessed by a query (i.e. simulated by a protocol which translates into SPARQL)? Homing in on the arcana, do the inclusion and filtering criteria translate into metadata? At some level they must, but are these metadata explicitly expressed in the articles themselves? The answer to that is surely "no" at this point, but can TDM find them? Again "no", right now. Automatic identification doesn't just happen.

Actually these questions lack originality. It should be noted though that WP:MEDRS, the reliable sources guideline used here for health information, hinges on the assumption that the usefully systematic reviews of biomedical literature can be recognised. Its nutshell summary, normally the part of a guideline with the highest density of common sense, allows literature reviews in general validity, but WP:MEDASSESS qualifies that indication heavily. Process wonkery about systematic reviews definitely has merit.

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MediaWiki message delivery (talk) 10:02, 28 February 2019 (UTC)Reply

Facto Post – Issue 22 – 28 March 2019 edit

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)Reply

Facto Post – Issue 23 – 30 April 2019 edit

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.

Links

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Facto Post – Issue 24 – 17 May 2019 edit

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.
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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)Reply