What is better than a list? A list of lists!

For academic Mastodon, we now have a central place to gather all lists that folks have created:

https://github.com/nathanlesage/academics-on-mastodon

Thanks to the creators of the lists @perspektivbrocken @jwyg @brenton_peterson @JauneBaguette @thhaase

GitHub - nathanlesage/academics-on-mastodon: A list of various lists consisting of academics on Mastodon

A list of various lists consisting of academics on Mastodon - nathanlesage/academics-on-mastodon

GitHub

@hendrikerz @perspektivbrocken @jwyg @brenton_peterson @JauneBaguette @thhaase

By maintaining a list of German political entities present in the Fediverse (and thus on Mastodon) I have learnt:

List do not scale well.

Thus I propose we build a #KnowledgeGraph together, like #Wikidata but specifically for the #Fediverse.

More details on that idea:

https://social.tchncs.de/@cark/109292451520489521

CarK (@[email protected])

So, why not enable the #Fediverse community to built and curate their own #KnowledgeGraph? It could start with manually gathered information like https://codeberg.org/open/fedipolitik/ #fedipolitk but maybe later public information could be added automatically. This would facilitate the creation of topical account lists and thus improve the user experience both of old and new #fediverse inhabitants. It also would help to spread the knowledge about such great technologies like #wikidata and #sparql. 3/3

Mastodon
@cark @perspektivbrocken @jwyg @brenton_peterson @JauneBaguette @thhaase why would you wanna use SparQL for a database of relatively simple text content? That sounds like way too much tech for a simple task. Also, I would be wary of the term knowledge graph, I have tons of experience and that never worked out well for anyone involved.

@hendrikerz

> Why SPARQL (and thus RDF)

→ Because it offers the flexibility that might be needed. The alternative would be SQL but this would require to predefine a table schema a priori. With RDF the knowledge could grow organically (like #wikidata)

> I have tons of experience and that never worked out well for anyone involved.

→ I do not understand this. On what topic is your experience and what did never work out well?

@hendrikerz @cark @perspektivbrocken @jwyg @brenton_peterson @JauneBaguette @thhaase

The task can organically get more complex, as the lists grow, and people suddenly defy simple categorizations, etc.

I also have tons of experience with the term knowledge graph, and it had really worked out well for many of the projects I worked on ;)