Plugin-Requests

Awaiting Review

Joel Chan has worked with others create a discourse graph plugin in Roam. Also, there is also being created by the Logseq community.As a LLL/User of RemNoteI want to be able to use the semantic structure of the discourse graph nodes (Questions, Claims, Evidence) and relationships (Opposed By, Supported By, Informed By) between nodesSo that I can develop and synthesize knowledge with this model in RemNote instead of another graph-based software (e.g., Roam, Logseq, etc.).See more documentation here: <ul>
<li><a target="_blank" rel="noopener noreferrer nofollow" href="https://oasis-lab.gitbook.io/roamresearch-discourse-graph-extension/">https://oasis-lab.gitbook.io/roamresearch-discourse-graph-extension/</a> </li>
<li><a target="_blank" rel="noopener noreferrer nofollow" href="http://joelchan.me/assets/pdf/Discourse_Graphs_for_Augmented_Knowledge_Synthesis__What_and_Why.pdf">http://joelchan.me/assets/pdf/Discourse_Graphs_for_Augmented_Knowledge_Synthesis__What_and_Why.pdf</a></li>
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<a target="_blank" rel="noopener noreferrer nofollow" href="https://www.youtube.com/watch?v=JoCjpTXCklw"><img src="data:image/jpeg;base64,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" alt=""></a>
<a target="_blank" rel="noopener noreferrer nofollow" href="https://www.youtube.com/watch?v=JoCjpTXCklw">PREVIEW</a>
<a target="_blank" rel="noopener noreferrer nofollow" href="https://www.youtube.com/watch?v=JoCjpTXCklw">1:34:47</a>
<a target="_blank" rel="noopener noreferrer nofollow" href="https://www.youtube.com/watch?v=JoCjpTXCklw">Flexible Systems for Synthesis in Roam Research with ...</a>
<a target="_blank" rel="noopener noreferrer nofollow" href="https://www.youtube.com/watch?v=JoCjpTXCklw">YouTube · Robert Haisfield1 hour, 34 minutes, 47 secondsDec 27, 2020</a>
</li>
<li><a target="_blank" rel="noopener noreferrer nofollow" href="https://scalingsynthesis.com/C-Discourse-graphs-could-significantly-accelerate-human-synthesis-work/">https://scalingsynthesis.com/C-Discourse-graphs-could-significantly-accelerate-human-synthesis-work/</a></li>
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<a target="_blank" rel="noopener noreferrer nofollow" href="https://www.youtube.com/watch?v=CrIMC0cZKFI"><img src="data:image/jpeg;base64,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" alt=""></a>
<a target="_blank" rel="noopener noreferrer nofollow" href="https://www.youtube.com/watch?v=CrIMC0cZKFI">PREVIEW</a>
<a target="_blank" rel="noopener noreferrer nofollow" href="https://www.youtube.com/watch?v=CrIMC0cZKFI">1:00:32</a>
<a target="_blank" rel="noopener noreferrer nofollow" href="https://www.youtube.com/watch?v=CrIMC0cZKFI">Questions, Claims, and Evidence: An Introduction to the ...</a>
<a target="_blank" rel="noopener noreferrer nofollow" href="https://www.youtube.com/watch?v=CrIMC0cZKFI">YouTube · Think Stack Club1 hour, 32 secondsOct 6, 2021</a>
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</ul>

Joel Chan has worked with others create a discourse graph plugin in Roam. Also, there is also being created by the Logseq community.As a LLL/User of RemNoteI want to be able to use the semantic structure of the discourse graph nodes (Questions, Claims, Evidence) and relationships (Opposed By, Supported By, Informed By) between nodesSo that I can develop and synthesize knowledge with this model in RemNote instead of another graph-based software (e.g., Roam, Logseq, etc.).See more documentation here: https://oasis-lab.gitbook.io/roamresearch-discourse-graph-extension/...

Evaluating

rwrobinson88

Joel Chan has worked with others create a discourse graph plugin in Roam. Also, there is also being created by the Logseq community.

As a LLL/User of RemNote

I want to be able to use the semantic structure of the discourse graph nodes (Questions, Claims, Evidence) and relationships (Opposed By, Supported By, Informed By) between nodes

So that I can develop and synthesize knowledge with this model in RemNote instead of another graph-based software (e.g., Roam, Logseq, etc.).

See more documentation here:

- [https://oasis-lab.gitbook.io/roamresearch-discourse-graph-extension/](https://oasis-lab.gitbook.io/roamresearch-discourse-graph-extension/) 

- [http://joelchan.me/assets/pdf/Discourse\_Graphs\_for\_Augmented\_Knowledge\_Synthesis\_\_What\_and\_Why.pdf](http://joelchan.me/assets/pdf/Discourse_Graphs_for_Augmented_Knowledge_Synthesis__What_and_Why.pdf)

- [![](data:image/jpeg;base64,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)](https://www.youtube.com/watch?v=JoCjpTXCklw)

- [https://scalingsynthesis.com/C-Discourse-graphs-could-significantly-accelerate-human-synthesis-work/](https://scalingsynthesis.com/C-Discourse-graphs-could-significantly-accelerate-human-synthesis-work/)

- [![](data:image/jpeg;base64,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)](https://www.youtube.com/watch?v=CrIMC0cZKFI)



Discourse Graph Plugin

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