Mike,
Thank you for mentioning PROV-O [1][2]; it hadn’t been addressed.
One of the PROV-O editors was Deborah L. McGuinness. She was involved in both the
Inference Web [3] and PML [4].
Best regards,
Adam
[1]
https://www.w3.org/TR/prov-o/
[2]
https://en.wikipedia.org/wiki/PROV_(Provenance)
[3]
https://web.archive.org/web/20170610061815/http://inference-web.org/wiki/Ma…
[4]
https://en.wikipedia.org/wiki/Provenance_Markup_Language
From: Mike Bennett<mailto:mbennett@hypercube.co.uk>
Sent: Tuesday, July 14, 2020 3:39 PM
To:
abstract-wikipedia@lists.wikimedia.org<mailto:abstract-wikipedia@lists.wikimedia.org>
Subject: Re: [Abstract-wikipedia] Wikidata Statement Provenance, Automated Reasoning, and
Natural Language Generation
What about using the W3C Provenance ontology Prov-O? Or has that already been addressed?
Mike
On 7/14/2020 1:22 PM, Adam Sobieski wrote:
Charles,
For an example, we can refer to the Douglas Adams article
(
https://www.wikidata.org/wiki/Q42). We can see that the statement that Douglas Adams was
a science fiction writer is attributed to the Bibliothèque nationale de France.
Let us imagine that that statement was not asserted and sourced to the Bibliothèque
nationale de France, but was instead derived from the combination of facts that he
authored works which were science fiction. Douglas Adams authored the Hitchhiker's
Guide to the Galaxy pentalogy and those works were science fiction. I am not saying that
that is a valid rule; it is merely an example for this discussion: authors of science
fictions works are science fiction writers.
In the hypothetical, there would be a statement in the knowledgebase with, instead of a
reference, a derivation (statements could, however, have both sources and derivations).
Perhaps, one day, readers will be able to click on a derivation’s hyperlink on Wikidata to
view an automatically-generated page explaining it.
An automatically-generated natural language article for Q42 might contain a sentence
“Douglas Adams was a science fiction writer” which would have a numbered citation, but, in
the hypothetical, instead of that citation referring to a referenced material from the
Bibliothèque nationale de France, it would refer to an automatically-generated document
which explained the origin of the statement from automated reasoning upon component
statements, those recursively either asserted and sourced or the result of automated
reasoning.
It is interesting to consider the propagation of sources [1] and/or derivations [2] from
Wikidata knowledgebase statements to citations for referenced materials or derivations in
automatically-generated articles.
I hope that automated reasoning would not be in tension with standard Wikipedia policies
on original research and synthesis [3]. Perhaps there would be new policies for reviewing
each logical rule desired to be entered into the knowledgebase. In my opinion, a
privileged user role (e.g. administrator) would be needed for activating and deactivating
proposed logical rules used to produce knowledgebase statements.
Best regards,
Adam
[1]
https://www.wikidata.org/wiki/Help:Sources
[2]
https://www.wikidata.org/wiki/Wikidata:WikiProject_Reasoning
[3]
https://en.wikipedia.org/wiki/Wikipedia:No_original_research
From: Charles Matthews via
Abstract-Wikipedia<mailto:abstract-wikipedia@lists.wikimedia.org>
Sent: Tuesday, July 14, 2020 6:49 AM
To: General public mailing list for the discussion of Abstract Wikipedia (aka
Wikilambda)<mailto:abstract-wikipedia@lists.wikimedia.org>
Subject: Re: [Abstract-wikipedia] Wikidata Statement Provenance, Automated Reasoning, and
Natural Language Generation
On 14 July 2020 at 03:11 Adam Sobieski
<adamsobieski@hotmail.com><mailto:adamsobieski@hotmail.com> wrote:
I
That is, automatically-generated articles could provide reasoning supporting, arguments
for, and/or proofs of the contents of natural language sentences in a manner similar to
how they can provide referenced sources and materials.
Any thoughts on these topics?
The idea is in tension with standard Wikipedia policies on original research and
synthesis. Admittedly, it would be interesting to see some edge cases that were/were not
acceptable under those policies. But on the whole, I think work in the sort of symbolic AI
tradition suggested would be better received as research built on top of the drive to
create articles, rather than integrated with it.
Charles
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