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I can help try and clear some of the groundwork out of the way to make it easier for you and other interested participants to experiment. I have asked around fedi a bunch for a very minimal AP server implementation, and I could try and find one (or we could try and prototype one) if you want to experiment with that :), and I can also document and show you a tweepy-based bot that has an extensible command/parsing system too | I can help try and clear some of the groundwork out of the way to make it easier for you and other interested participants to experiment. I have asked around fedi a bunch for a very minimal AP server implementation, and I could try and find one (or we could try and prototype one) if you want to experiment with that :), and I can also document and show you a tweepy-based bot that has an extensible command/parsing system too | ||
|Link=https://discord.com/channels/1029514961782849607/1037786518800039978/1037861609885925467 | |Link=https://discord.com/channels/1029514961782849607/1037786518800039978/1037861609885925467 | ||
}}{{Message | |||
|Author=sneakers-the-rat | |||
|Avatar=https://cdn.discordapp.com/avatars/305044217393053697/2970b22bd769d0cd0ee1de79be500e85.png?size=1024 | |||
|Date Sent=22-11-03 23:11:44 | |||
|Channel=table-3 | |||
|Text=hello Matthew! very curious about this. As someone not familiar with materials science, I'm curious if you could say more about what [[OPTIMADE]] does in this case? Is the idea that the zenodo plugin parses some paper, and then sends it to other listening clients that the parsed data comes from the paper? is it a vocabulary, or communication protocol, or both? and what kind of information would it be parsing/do materials scientists want to be able to analyze in an automated way? sorry if I am being dense, just curious because I've always admired materials but have had very little exposure. | |||
|Link=https://discord.com/channels/1029514961782849607/1033091597635694694/1037866701326385284 | |||
}} | }} | ||