Linking data nodes to deliver relevant content
Using the data supplied by our ETL engine our Knowledge Graph acquires and integrates information into an ontology and applies a reasoner A.I. to derive new knowledge and insights, powering our inspire and acquire loop.
Our Knowledge Graph is flexible by nature and the ontology is extended and revised as new data arrives. This function is critical as the data arriving is from a diverse set of heterogenous sources.
Our Knowledge Graph has been developed to consume the real time data pipeline from the ETL engine that keeps adding new knowledge to the graph, refining it as new information arrives.
What is key, is our Knowledge Graphs ability to capture additional diverse meta-data annotations such as provenance and versioning information, which make it ideal for working with a sensitive and dynamic dataset such as the Client Record.