Matching Applicants
How could the same business applicant be identified across multiple datasets, and over time? How could we do this in new, or interesting ways?
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Team Cabanossi
We use smart contracts and the EOSIO Blockchain Virtual Machine platform to create a better way to handle IP Rights data.
This is a proof of concept only, as it is unfeasible right now to push smart contracts to the main EOS network (and we're definitely NOT using the mainnet), and instead advocating for the Australian Government to come up with their own Blockchain Network.
Preferably the nodes would be scattered throughout government institutions and universities, which would lead to a nigh-indestructible-untamperable and extremely resilient database, very useful for many use cases within the government.
In this presentation we present the use case as applied to IP Australia's current problem.
We've talked a bit with the IP Australia team over how we could transform their current data into something more consistent (duplicated customers data).
Description of Use We've consulted the descriptions inside, and spent a _lot_ of effort talking with the team
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