In this talk we will explain why graph path search is a computationally expensive task and will present our graph path search implementation.
Some databases are great for text searches, others for time series data and others yet, for metadata.
Sometimes, though, you have to work across models and databases. For RDF databases, this can be achieved with a reconciliation API.
Knowledge Graph technology can be cast as combining data and rules in a single layer of the tech stack to provide reusable and self-described packages that can be readily repurposed beyond their original scope.
In this talk I will review several efforts to achieve semantic integration across a number of financial services standards.