The important news is that Fisheries and Oceans Canada implemented a neo4j graph database as fully developed Enterprie IT. Their Azure Cloud, with the DB and microservices in Docker Containers. Tools include NLP and AI for dissecting, loading, and linking messy Excel spreadsheet, Postal Codes, GeoNames.org, First Nations locations,.
As part of the Fisheries and Oceans experiment with neo4j knowledge graph, I insisted, not entirely reasonably, on R+Shiny as platform for a user-friendly (no code) UI because that will allow the salmon research and management community to expand the UI themselves, adding more tools, Views, reports,.
Please see the silent two-minute demo showing GraphView that allows end-users to add and edit content, and showing ability to flip between TableView, MapView, and GraphView. Thank you, George Batten of Sitka Technologies in Portland, for an excellent Proof of Concept.
This system is a knowledge graph for fish, so we called it Graphish (and ourselves Graphishtas). So the UI is called Graphishui and, no, not connected to feng shui.
