Inside The SRS Spatial Finance Knowledge Graph
A global map of complex data relationships connecting dozens of data sets
into a highly precise and unified data structure – the knowledge graph.
Extracting value out of the vast amounts of open data available today is difficult and expensive. One of the main reasons is that open data sets do not connect easily with each other nor with the data sets owned by the user. To connect these datasets one needs to understand the various data identification schemas used by the government agencies and industry bodies that publish open data and figure out how to interconnect entities and locations of interest to the information available in open datasets. In addition, given the ever-changing nature of the world, maintaining the interconnects between data sources is a continuous effort of change monitoring and adjustments. These problems make the construction and maintaining of AI-ready databases expensive and time-consuming.
The SRS Knowledge Graph enables location Intelligence and offers a service that will accelerate and dramatically decrease the cost of AI-ready database construction by providing ONE SOURCE for accurate and consistently maintained inter-connects between physical locations and the information stored in the open data sets.
The SRS Knowledge Graph’s consistent classification schema, support for hierarchical relationships and bi-temporal (Point In Time) data increases transparency and confidence in analysis.
SRS Accelerates Time to Value
Contextualized search provides focused results...
SRS Knowledge Graph
Core Product Principles
For data to be considered in an AI ready state. The following ‘data’ conditions need to be in place.
Inside the PPP
View a detailed SRS Report on the Paycheck Protection Program.