I have deeply mixed feelings about #ActivityPub's adoption of JSON-LD, as someone who's spent way too long dealing with it while building #Fedify.
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and then
1) machine gets thread (cause is JSON-LD by known/allowed `generator`)
2) machine fetches or gets cached wikidata entry about Berlin and displays the card (kind of "infobox" then).
.. from the named "SpecialEntitiyData" of wikidata which is JSON-LD as well.
3) machine is happyapart from our tools, I need to credit Max Lath who is doing inventaire, the federated book library and did a lot of previous work for wiki JSON-LD like the wonderful https://github.com/maxlath/wikibase-sdk
PS - just btw;
about inventaire I am sharing currently photobooks for free rent in Dortmund, Germany
https://inventaire.io/users/sl007
they have also nice use for JSON-LD re. books /authors etc. https://data.inventaire.io/ like so many software in fedi.
If you ask the redaktor Service Actor for Place (`Question`) to find you a waffle restaurant in Amsterdam serving blue syrup near a train station then we do also use SPARQL like them - without the AI bullshit - just cause millions of friendly humans contributing to wd and OSM … -
@hongminhee How hard would it be for a future version of ActivityPub to simply back out JSON-LD support? Would there be a downside to this?
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@hongminhee How hard would it be for a future version of ActivityPub to simply back out JSON-LD support? Would there be a downside to this?
@mcc@mastodon.social asking the important questions
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@hongminhee How hard would it be for a future version of ActivityPub to simply back out JSON-LD support? Would there be a downside to this?
@mcc@mastodon.social I'm not sure, but that would break some ActivityPub implementations relying on JSON-LD processors.
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@hongminhee How hard would it be for a future version of ActivityPub to simply back out JSON-LD support? Would there be a downside to this?
@mcc @hongminhee Mastodon, Fedify and other implementations that treat LD as mandatory (
MUST) even if it's optional (SHOULD) will be non conformant. As Mastodon is the biggest implementation by far margin, deprecating it is no small feat. -
@mcc @hongminhee Mastodon, Fedify and other implementations that treat LD as mandatory (
MUST) even if it's optional (SHOULD) will be non conformant. As Mastodon is the biggest implementation by far margin, deprecating it is no small feat.@cochise @hongminhee But Mastodon famously doesn't actually *support* LD right? That's the point of the thread? So wouldn't they be the easiest to convince to stop supporting the thing they never supported?
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@cochise @hongminhee But Mastodon famously doesn't actually *support* LD right? That's the point of the thread? So wouldn't they be the easiest to convince to stop supporting the thing they never supported?
@mcc @hongminhee Don't really support, but discards activities without
@contextanyway.I suspect JSON-LD was a way to have extensibility and escape XMPP's XEP hell with servers and clients not supporting or disabling features in an infinite matrix.
But seems community favors FEPs describing JSON schemas and hardcoding it over getting them from a server and mapping the object at runtime. -
@hongminhee I had a similar realization early on when implementing Pinka. I almost went full JSON-LD but found that to properly expand the document I might need to make network calls. I stopped worrying about unknown terms and just hard coded a list of well-known AS and APub terms for interoperability.
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@hongminhee what i have found necessary (sadly) is to sometimes ignore what @\context a software produces and simply inject a corrected @\context describing what they *actually* meant instead of what they said they meant. x_x
the "incorrect" mastodon context in use right now (or equivalent), which can be swapped out for the "correct" mastodon context to be more compatible with generic json-ld (and more semantically correct)
the "incorrect" mastodon context in use right now (or equivalent), which can be swapped out for the "correct" mastodon context to be more compatible with generic json-ld (and more semantically correct) - mastodon-context-correct.jsonld
Gist (gist.github.com)
it would be an Exercise to sit down and map out the actual contexts of softwares like mastodon 4.5, mastodon 4.4, misskey 2025.12, akkoma 3.10.2, and so on...
for all else, there's shacl i guess, if you want to beat things into the correct shapes.
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@hongminhee I had a similar realization early on when implementing Pinka. I almost went full JSON-LD but found that to properly expand the document I might need to make network calls. I stopped worrying about unknown terms and just hard coded a list of well-known AS and APub terms for interoperability.
@kanru @hongminhee ironically this is what you're supposed to do! preload the terms you understand into local contexts. newer jsonld-adjacent specs (vc, cid, and so on) tell you that you MUST NOT fetch the contexts over the network at runtime, and instead MUST treat them as already fetched with a given sha256sum. https://www.w3.org/TR/cid-1.0/#json-ld-context
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@julian @mcc @hongminhee the downside is that you now need a central registry of allowed terms and what they mean.
the way to avoid that is to always use "expanded" form, i.e. use full IRIs as property keys (and types) and {"id": "foo"} over "foo". in effect, you treat the http(s) authority as the social entity defining the term.
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@mcc @hongminhee Don't really support, but discards activities without
@contextanyway.I suspect JSON-LD was a way to have extensibility and escape XMPP's XEP hell with servers and clients not supporting or disabling features in an infinite matrix.
But seems community favors FEPs describing JSON schemas and hardcoding it over getting them from a server and mapping the object at runtime.@cochise @mcc @hongminhee mastodon is one of the "better" ones in that regard, but famously requires you to have the same context as it (instead of expanding shorthand terms to the full IRIs and comparing those...)
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@hongminhee if i can give one piece of advice to devs who want to process JSON-LD: dont bother compacting. you already know the schema you output (or you're just passing through what the user gives and it doesn't matter to you), serialize directly to the compacted representation, and only run expansion on incoming data
expansion is the cheapest JSON-LD operation (since all other operations depend on it and run it internally anyhow), and this will get you all the compatibility benefits of JSON-LD with little downsides (beyond more annoying deserialization code, as you have to map the expanded representation to your internal structure which will likely be modeled after the compacted one)generally agreed except
> you have to map the expanded representation to your internal structure which will likely be modeled after the compacted one
this is compaction but manual instead of using a jsonld processor to do it. maybe the more precise argument is "don't bother with auto/native compaction"?
with that said: you also lose out on flattening and framing, which are pretty cool features for transforming the serialization. if you don't care about those, ok fine
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@julian @mat atproto lets you section things off by "app" roughly, which is something that could be done with "plain old http" using content-types and well-known uris.
json-ld makes it so that you don't have to use those -- the uris can be anything you'd like, including more natural names.
the problem is that people can and will disagree. "talk it out" is not a complete solution. the "talk it out" solution is things like central registries managed by the IANA which most treat as consensus.
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@julian @mat atproto lets you section things off by "app" roughly, which is something that could be done with "plain old http" using content-types and well-known uris.
json-ld makes it so that you don't have to use those -- the uris can be anything you'd like, including more natural names.
the problem is that people can and will disagree. "talk it out" is not a complete solution. the "talk it out" solution is things like central registries managed by the IANA which most treat as consensus.
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@hongminhee what i have found necessary (sadly) is to sometimes ignore what @\context a software produces and simply inject a corrected @\context describing what they *actually* meant instead of what they said they meant. x_x
the "incorrect" mastodon context in use right now (or equivalent), which can be swapped out for the "correct" mastodon context to be more compatible with generic json-ld (and more semantically correct)
the "incorrect" mastodon context in use right now (or equivalent), which can be swapped out for the "correct" mastodon context to be more compatible with generic json-ld (and more semantically correct) - mastodon-context-correct.jsonld
Gist (gist.github.com)
it would be an Exercise to sit down and map out the actual contexts of softwares like mastodon 4.5, mastodon 4.4, misskey 2025.12, akkoma 3.10.2, and so on...
for all else, there's shacl i guess, if you want to beat things into the correct shapes.
@trwnh@mastodon.social it's not an exercise, not anymore, with the Fediverse Observatory!
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@trwnh@mastodon.social it's not an exercise, not anymore, with the Fediverse Observatory!
@julian fedi observatory lists properties commonly used, right? that's a good start, at least.
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generally agreed except
> you have to map the expanded representation to your internal structure which will likely be modeled after the compacted one
this is compaction but manual instead of using a jsonld processor to do it. maybe the more precise argument is "don't bother with auto/native compaction"?
with that said: you also lose out on flattening and framing, which are pretty cool features for transforming the serialization. if you don't care about those, ok fine
@trwnh @hongminhee i'm not entirely sure on what you mean (it's about 3am here) but compaction isnt that cheap.
flattening and especially framing are the most expensive, and expansion is the cheapest especially since all the other algorithms depend on it (though if you do expand manually before it'll take a fast path out)
my argument here is that, if you know the structure you're serializing to (i.e. if you're a contemporary AP implementation that isn't doing anything too fancy), you can directly serialize in compacted form and skip constructing a tree of JSON objects in your library and running the compaction algorithm over it. depending on how clever you(r libraries) get you may be able to directly write the JSON string directly, even.
from some brief profiling i've done this does show up as a hot code path in iceshrimp.net, one of my goals with Eventually replacing dotNetRdf with my own impl mentioned above is to, given i'm gonna have to mess with serialization anyhow, remove the JSON-LD bits there and serialize directly to compacted form which should help with large boosts and other bursts -
@trwnh @hongminhee i'm not entirely sure on what you mean (it's about 3am here) but compaction isnt that cheap.
flattening and especially framing are the most expensive, and expansion is the cheapest especially since all the other algorithms depend on it (though if you do expand manually before it'll take a fast path out)
my argument here is that, if you know the structure you're serializing to (i.e. if you're a contemporary AP implementation that isn't doing anything too fancy), you can directly serialize in compacted form and skip constructing a tree of JSON objects in your library and running the compaction algorithm over it. depending on how clever you(r libraries) get you may be able to directly write the JSON string directly, even.
from some brief profiling i've done this does show up as a hot code path in iceshrimp.net, one of my goals with Eventually replacing dotNetRdf with my own impl mentioned above is to, given i'm gonna have to mess with serialization anyhow, remove the JSON-LD bits there and serialize directly to compacted form which should help with large boosts and other bursts@kopper @hongminhee i mostly just mean that "directly serialize to compacted form" is basically just doing the compaction in your brain ahead-of-time then hardcoding it into your app. like it's still compaction just uh... once, using a wetware jsonld processor
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@hongminhee from the point of view of someone who is "maintaining" a JSON-LD processing fedi software and has implemented their own JSON-LD processing library (which is, to my knowledge, the fastest in it's programming language), JSON-LD is pure overhead. there is nothing it allows for that can't be done with
1. making fields which take multiple values explicit
2. always using namespaces and letting HTTP compression take care of minimizing the transfer
without JSON-LD, fedi software could use zero-ish-copy deserialization for a majority of their objects (when strings aren't escaped) through tools like serde_json and Cow<str>, or System.Text.Json.JsonDocument. JSON-LD processing effectively mandates a JSON node DOM (in the algorithms standardized, you may be able to get rid of it with Clever Programming)
additionally, due to JSON-LD 1.1 features like @type:@json, you can not even fetch contexts in parallel, meaning all JSON-LD code has to be async (in the languages which has the concept), potentially losing out on significant optimizations that can't be done in coroutines due to various reasons (e.g. C# async methods can't have ref structs, Rust async functions usually require thread safety due to tokio's prevalence, even if they're ran in a single-threaded runtime)
this is after context processing introducing network dependency to the deserialization of data, wasting time and data on non-server cases (e.g. activitypub C2S). sure you can cache individual contexts, but then the context can change underneath you, desynchronizing your cached context and, in the worst case, opening you up to security vulnerabilities
json-ld is not my favorite part of this protocol@kopper @hongminhee As the person probably most responsible for making sure json-ld stayed in the spec (two reasons: because it was the only extensibility answer we had, and because we were trying hard to retain interoperability with the linked data people, which ultimately did not matter), I agree with you. I do ultimately regret not having a simpler solution than json-ld, especially because it greatly hurt our ability to sign messages, which has considerable effect on the ecosystem.
Mea culpa
![😕](https://forum.wedistribute.org/assets/plugins/nodebb-plugin-emoji/emoji/android/1f615.png?v=8eaae6ed46b ":\")
I do think it's fixable. I'd be interested in joining a conversation about how to fix it.
