2020-04-14 Meeting notes
- Elisa Kendall
Date
Attendees
Agenda
1) Use Case reminder
2) Where we are on our road map.
3) Open Action Items
4) JIRA Issues Review - https://jira.edmcouncil.org/projects/DER/issues/DER-10?filter=allopenissues
5) Todays content discussion.
6) For next week.
Proceedings:
Discussed potentially postponing work on the operational demonstration until resources to cover development increases. If we need to do that, for the purposes of the DER discussions, we will be restarting some of our ontology development efforts. For other areas of work in DER, possibilities for further work include commodity swaps, equity swaps, among others. Highest priorities for the government with respect to swaps are interest rate swaps, then equity swaps, and then commodity swaps.
The original demo ran on an R Shiny server, using R Studio. The basis for this is all open source, free, and could be stood up on the council's site, which could easily be redone on the MakoLab site, given the resources to do so. Another option, though, would be to provide the examples to council members, such as Adaptive/Stardog, AllegroGraph, Ontotext, Arongo DB, Tiger Graph, Virtuoso, neo4j ... and allow them to host demonstrations using the sample data, linked from the council site, once we have created it. The work to do on our side would include (1) creating the sample data, and (2) completing at least some minimal set of demo requirements, so that vendors could then show what they can do with it. That would put them all on the same playing field. The goal is to help new users understand the technology better, to accelerate FIBO usage, but it would also be great to see how the vendors' solutions can be leveraged to showcase a combination of FIBO and their technology.
It would be even more interesting if we could embed different problems - trading ahead, spoofing, banging the close, etc. into the data - and show how easy it is to find those activities in the data using a KG. Given the same data, see how the various vendors would demonstrate these same issues - show the trading network, show the most influential entities, show criminal activity ... embedded in multiple data sets, including some potentially from the government.