@bonfire @julian @mayel @jonny

At least I will state my interest from the perspective of custodian of Social coding commons movement, which has an ambition that open science becomes seamlessly embedded within the commons with lowest barriers to free knowledge transfer towards broader society and back.

The chaordic organization formula that I am pondering allows for pillars to be created around specific themes, to help make them strategically and organically grow over time. Like Open Science.

@bonfire Right – with OSN you're also thinking about academic creation, not only sharing? So letting authors declaratively cite specific sources in their posts could be good, as would searching/filtering for “what else cites this”.

Although tbh, my motivation for now is interop between Encyclia and OSN. I want Bonfire to recognize Encyclia posts as what they are (automated metadata summaries of specific academic works) and separate those from human discussions.

@mayel @jonny @smallcircles

@bonfire @julian @mayel @jonny

Oh, I should also mention that I intend to port and reboot https://fedi.foundation which I can also offer as a place where ScienceFed can inform the public about its work.

This site is intended to be a multi-author publishing service for participants in Social coding commons, specifically around themes of applied research for the social web of tomorrow.

@smallcircles @julian @mayel @jonny does it federate?

@bonfire FWIW, Encyclia currently fetches plain JSON from ORCID and re-emits as human-readable ActivityPub Notes. ORCID's own types, which are used in (non-LD) JSON payloads, are listed in the second column here: https://info.orcid.org/ufaqs/what-work-types-does-orcid-support/ Dunno if those map cleanly to schema.org types but the palettes are small enough that we can figure it out.

@mayel @jonny @smallcircles

@julian
@bonfire @mayel @smallcircles
I have only been loosely following but I am a "spec on the table" kinda gal. Draft spec and implementation first, then bikeshedding later.

@julian

That should be easy enough to get working as-is to begin with, and we can then progressively enhance with schemas?

@mayel @jonny @smallcircles

@smallcircles @julian @bonfire @mayel @jonny

for illustrative examples, see https://linkedresearch.org/calls#contributions-and-review and https://csarven.ca/linked-data-notifications

go ahead, inspect the html, try to fetch it as json-ld, the works

@trwnh
@smallcircles @julian @bonfire @mayel
Ya ya. Adding LD to documents is easy. Making use of it at scale is hard.

@jonny @smallcircles @julian @bonfire @mayel i am finding that the challenge isn't so much "making use of it as scale" as it is specifically "being understood at scale". it's a problem that we have even with natural language. you have the capability to make use of information that you understand, but it's the understanding that's the hard part. and also discovering that information in the first place, and being able to find it when you need it. compared to that, use cases are straightforward.

@trwnh
@smallcircles @julian @bonfire @mayel
I think basically we are saying the same thing because understanding is a prerequisite to use for me so yes, agreed.

@trwnh
As a side note, I think RDFa is a great idea, I tried to use it in a document and make a markdown preprocessor to be able to use it with semantic mediawiki-style wikilinks [[predicate::object|display text]] where the document is the implicit subject, or [[subject::predicate::object]] and have those render out as a elements with RDFa. But then I learned that rdflib had dropped support and there weren't any actively developed parsers, so I gave up because I wasn't gonna write one and what's the point in writing something that can't be parsed easily.

@jonny depending on how things go, i might end up writing one for myself if i decide i want to use html as a canonical content format which gets converted into other serializations. i'm not particularly enamored with markdown as a canonical content format (although i recognize why many people like it) so i don't know how much energy to devote to markdown extensions if i won't end up using them

but i still have research to do re: content modeling and management...

@jonny one thing that seems potentially promising with markdown is to try to put the data in frontmatter instead of content? then when you parse frontmatter as toml/yaml/json you can basically take the json and make it json-ld by adding a context depending on the "type" of content it represents. imagine something like hugo and mapping the default frontmatter attributes to some vocabulary... then establishing equivalences as needed

@trwnh
Hey if you can write HTML, then dont bother with markup formats. I write code for scientists and if I were to ask a scientist to write their document in HTML they would just be like "no" and "never" lol

@trwnh
There is a Jekyll plugin that does this, but one of the things I wanted with RDFa is to be able to annotate the text within the document as well as the whole document. Its a shame it seems to be quietly being deprecated

@jonny @trwnh If you’re interested in a critical history of RDFa: https://aeshin.org/static/pubs/Shaw%20-%202022%20-%20A%20Dispute%20over%20Embedding%20Linked%20Data%20in%20Web%20Pages.c90822e73bae.pdf

@jonny yeah rdfa is mostly stuck in 2013, it never really got fully ironed out because most people already preferred turtle or the new hotness of jsonld. it's a shame because it does have some advantages that the other formats lack (namely, you can markup text *and* make some of that markup extra-semantic, write once instead of having to maintain two separate things and risk them getting out of sync

@rieyin
@trwnh
I certainly am, and have done my own archaeology here, so very interested in finding an actual history

@jonny @rieyin currently reading -- thanks for the link!