RE: The Modeling of and the Metadata of Wisdom Materials

Semantic Web Interest Group,

A quick update. A number of the technologies indicated in the article are now components of a full-fledged Wikimedia project proposal: https://meta.wikimedia.org/wiki/Wikiwisdom (https://meta.wikimedia.org/wiki/Talk:Wikiwisdom).

Please feel free to add yourself as an interested person on the proposal page and to discuss the project and related ideas on the proposal�s talk page.


Best regards,
Adam Sobieski
http://www.phoster.com/contents/

________________________________
From: Adam Sobieski
Sent: Thursday, July 25, 2019 3:04:19 PM
To: semantic-web@w3.org <semantic-web@w3.org>
Subject: The Modeling of and the Metadata of Wisdom Materials

Semantic Web Interest Group,

In a recent article of mine, Social Media Bots with Integrated Recommendation Systems for Wisdom Materials drawn from Wiki Corpora (https://www.linkedin.com/pulse/social-media-bots-integrated-recommendation-systems-wisdom-sobieski/), I indicate some modeling and metadata topics pertaining to wiki collections of wisdom materials. Such collections of wisdom materials would advance scholarly and scientific research and make possible a number of new technologies including social media bots with integrated recommendation systems.

Some excerpts from the article:

�A recent research article of mine, Artificial Wisdom<http://www.phoster.com/artificial-wisdom/>, pertains to search engines and recommendation systems for: anecdotes, proverbs, quotations, lyrics, poetry, narratives (e.g. parables, allegories), and humor. I refer to these materials as wisdom materials.�

�Varieties of wisdom materials should be modeled. A wisdom material, for instance, could be described as having one or more interpretations and each interpretation could have text content for indexing, keywords, categories, and so forth.�

�Wisdom materials could be secular or non-secular, contemporary or historic. The metadata of wisdom materials and of their interpretations, including, but not limited to, folksonomic categorizations, could support providing a diverse pluralism of materials in corpora. In this way, users could choose and configure social media bots to obtain precisely the wisdom material recommendation services desired.�

I hope that the aforementioned article as well as the modeling of and the metadata of wisdom materials were interesting to the group.


Best regards,
Adam Sobieski
http://www.phoster.com/contents/