Global RegTech provider Clausematch has released its digital knowledge graph in open source, allowing regulators and financial service companies to test the graph to see how regulation works in a structured digital format.
Clausematch has been involved in a series of projects in this domain with financial services regulators since 2019, including with the Abu Dhabi Global Market’s Financial Services Regulatory Authority. The joint team reimagined the regulatory framework by taking the content of regulatory requirements, automatically categorizing them using advanced AI models, creating tags focused on regulatory concepts, obligations and expectation, Clausematch said in a news release.
The company believes its underlying the release of the knowledge graph will fundamentally transform the very understanding of regulation and how it can be delivered.
“There is a growing sense that authorities need to work together to regulate the world more effectively, learn from and leverage each other’s experiences, and avoid silos of expertise and skills,” Vladimir Ershov, head of data science and machine learning at Clausematch, said in the news release. “By introducing dynamic knowledge graphs in open source, Clausematch proposes an approach where the regulator first digitizes its very understanding of regulation by creating models for tagging and for relation extraction and then, these models are released within the regulations for regulated companies. Thus, any company can receive an in-house regulatory advisor to carry on with taxonomy and rules interpretations.”
The company also published a scientific paper on the application of knowledge graph technologies for regulations, which can be found here.