This page exists to dive deeper into particulars.
==SMWCon 2023==
The [https://www.semantic-mediawiki.org/wiki/SMWCon_Fall_2023 3-day program] was fantastic!
One major advancement was the fact that Bernard Krabina opened ties with [https://docs.opencollective.com/help[Semantic MediaWiki/SMWCon2023|Notes about/introduction Open CollectiveSMWCon 2023] so that individuals and organizations can [https://www.semantic-mediawiki.org/wiki/Sponsorship#Donating_money donate money] to the project.
===Task tracking===
HalloWelt! combines four extensions they created to make useful task tracking in (Semantic) MediaWiki
*[[mw:Extension:SimpleTasks|Extension:SimpleTasks]] Tasks are checklist items that can be checked on or off to indicate if the task is open or completed.
*[[mw:Extension:Checklists|Extension:Checklists]] Make lists of checkboxes.
*[[mw:Extension:DateTimeTools|Extension:DateTimeTools]] Provides date tools in VisualEditor.
*[[mw:Extension:AtMentions|Extension:AtMentions]] Easily mention a user, with notification
Miriam Schlindwein presented how it's possible to create tasks, assign them to someone, add due dates and how they can be controlled {{#ev:youtube|lYpi08dqBPs|||||t=13336}}
===Realtime integrations with GitLab===
See [[GitLab operations]]
===Fixing Wikidata===
Yaron Koren gave a great presentation ([https://commons.wikimedia.org/wiki/File:Fixing_Wikidata_-_SMWCon_2023.pdf slides]) called '''[http://wikiworks.com/enhanced-wikibase.html Enhanced Wikibase]''' on how [[Wikibase]] (and therefore Wikidata) are missing features. He showed how he implemented these missing features in a series of developments. One is showcased at [https://wikidatawalkabout.org/ Wikidata Walkabout] - a drill-down and query interface to Wikibase sites; powered by [https://github.com/sahajsk21/Anvesha Anvesha] - a JavaScript library. [https://www.youtube.com/live/lYpi08dqBPs?si=ci0swXD2e-e7qCwy&t=19983 Video presentation]
===Natural Language Queries to Wikidata: A Naïve Prototype===
[[File:Architecture - Ask Wikidata SMWCon 2023.png|alt=Application architecture|thumb|architecture]] Robert Timms - Sr. Software Engineer Wikibase Suite, Wikimedia Deutschland gave [https://www.semantic-mediawiki.org/wiki/SMWCon_Fall_2023/Natural_Language_Queries_to_Wikidata:_A_Na%C3%AFve_Prototype a talk] ([https://github.com/rti/askwikidata code] [https://docs.google.com/presentation/d/1YgDmcvoXaqnYdRyX5RxewVkeioEJ92nb8Sfb_halBsM slides] [https://colab.research.google.com/drive/1yRZshpNj0kXwY0XuUYw5ziqjw_RffxH- try it]) about querying Wikibase with an LLM. Slides 9-22 go from the application architecture to the 'tada' moment.
Not the goal of the talk, but he revealed some of the key drawbacks of using "AI" in the first place:
#Outdated information
#Prone to hallucinations
#No sources (AI doesn't tell you how or why it claims to be authoritative.)
This is supposed to be addressed in part by using the <abbr title="Retrieval-Augmented Generation">RAG</abbr> technique.
{{Notice|The 'gpt' in ChatGPT stands for "Generative Pre-trained Transformer" - or a fancy way to say "guess". The '''artificial''' intelligence of large language model GPTs '''guess''' what you would say next based on the prompt given and the dataset they are trained on. In OpenAI's own words: "Generative AI models formulate responses by matching patterns or words, while RAG systems retrieve data based on similarity of meaning or semantic searches."}}
===Major changes on interfaces of MediaWiki RDBMS library===
https://www.mediawiki.org/wiki/Manual:Database_access
=== Open Semantic Lab ===
[https://github.com/OpenSemanticLab Open Semantic Lab] starts with the premise that '''Ontologies'''<ref>See Simon's https://github.com/General-Process-Ontology/ontology</ref> are key to standardize '''''everything'''''... but '''tools''' are needed to make ontologies '''''applicable''''' in everyday research. The OSL is the holistic and community driven platform to fulfill this roll... and links '''people''' (knowledge), '''machines''' (data) and '''algorithms''' (AI) '''equally.'''
Since last year, the project has been completely based on the industry standards of JSON-SCHEMA and JSON-LD, enabling new applications quickly with easy integration to any third party software. Experimental support has been added to achieve Python triggered workflows through REST APIs and LocalGPT Q&A + search assistance.
The whole subject is quite advanced, so it can be hard to wrap your head around it. A good way to understand the power of the Open Semantic Lab system is to look at an example use case where it was put into practice<ref>This was in 2022, so before the new version. The project was shown in the presentation at https://www.youtube.com/watch?v=MZlk5Gzy0tc&t=1564s</ref>. At https://kiprobatt.de/wiki, they illustrate ''Intelligent battery cell manufacturing.'' The [https://kiprobatt.de/wiki/Parameter_correlations/High_priority diagramming capabilities of the system are impressive] - showing interactive (clickable) node graphs plus Draw.io integration. The underlying software application is not for the faint-of-heart. Checking the [https://kiprobatt.de/wiki/Special:Version Special:Version] page shows an extensive list of complex MediaWiki and Semantic MediaWiki extensions. The latest version's [https://opensemantic.world/w/index.php?title=Item%3AOSWdb485a954a88465287b341d2897a84d6&reveal=true&useskin=timeless#/Technology_Stack technology stack is represented here].
'''See also:''' [https://opensemantic.world/wiki/Main_Page https://opensemantic.world/] - a reference deployment of the '''OpenSemanticWorld''' packages. Here is a [https://opensemantic.world/w/index.php?title=Item%3AOSWdb485a954a88465287b341d2897a84d6&reveal=true&useskin=timeless#/What_is_different_to_Vanilla_.28Semantic.29_MediaWiki.3F brief explanation] of the key differences from 'vanilla' Semantic MediaWiki<ref>The dynamic "slide format" of page content is also impressive.</ref>. You can see at [https://opensemantic.world/w/index.php/Special:Version Special:Version], the extensions and software components.
[[Category:MediaWiki]]
[[Category:Enterprise MediaWiki]]