Discourse Modeling
| Discourse Modeling | |
|---|---|
| Description | Implement Discourse Graph schema in Semantic MediaWiki. Query Discourse Graph contents through SMW sparql endpoint. Visualize and publish Discourse Graph contents. |
| Related Topics | Discourse Graphs, SPARQL |
| Projects | Making Discourse Graphs Indexable & Discoverable |
| Discord Channel | #discourse-modeling |
| Facilitator | |
| Members | Kyle MacLaury, Sam Klein, Konrad Hinsen, Karola Kirsanow, Peter Murray-Rust |
Potential Actions
- Implement the Discourse Graph schema within the workshop's Semantic MediaWiki instance
- This may be duplicated by Making Discourse Graphs Indexable & Discoverable
- Incorporate models/algorithms into Semantic MediaWiki
- Access discourse and knowledge representations in the SMW instance
- Compute with the returned data
- potentially using models/algorithms from the wiki
- Visualize the results of the computation
- Publish the visualizations back to the SMW instance
Modules
There are other
- Semantic MediaWiki
- Front End
- Embed CloudObjects from Wolfram Cloud
- User chooses model and specifies input parameters
- User applies model to input parameters
- Call API that executes
- rdf database
- SPARQL endpoint
- Front End
- Wolfram Cloud
- Use SPARQLExecute to call the SPARQL endpoint
- Apply Model to query results
- Publish visualizations as CloudObjects
- Publish API that executes model/algorithm
Discord
we think the problem now is user-friendly tools and workfows that can create discourse graph structures, and have seen some exciting progress across a bunch of new user-facing "personal wikis". but bridging from personal to communal is still a challenge, partially bc of tooling.
this is why i'm excited about the Discourse Modeling idea, which i sort of understand as a way to try to instantiate something like Discourse Graphs into a wiki (bc wikis have a lot more in-built affordances for collaboration, such as edit histories, talk pages, etc.), which may hopefully lead to a lower barrier to entry for collaborative discourse graphing.
a high hope is that we can develop a process that is easy enough to understand and implement that can then be applied to discourse graphing the IPCC or similarly large body of research on a focused, contentious, interdisciplinary topic.
other examples include: - effects of masks on community transmission (can't do decisive RCTs, need to synthesize) - effects of social media on political (dys)function: (existing crowdsourced lit review here, in traditional narrative form: https://docs.google.com/document/d/1vVAtMCQnz8WVxtSNQev_e1cGmY9rnY96ecYuAj6C548/edit#)