Property "Has Member" (as page type) with input value "The query result could not be obtained from the SPARQL database. This error might be temporary or indicate a bug in the database software." contains invalid characters or is incomplete and therefore can cause unexpected results during a query or annotation process.{| style="width: 30em; font-size: 90%; border: 1px solid #aaaaaa; background-color: #f9f9f9; color: black; margin-bottom: 0.5em; margin-left: 1em; padding: 0.2em; float: right; clear: right; text-align:left;" ! style="text-align: center; background-color:#ccccff;" colspan="2" |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
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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#)