Grammars for Graph-based Assessment of Mission Readiness (GGRAMR)

In order to determine a units readiness for a particular Mission Essential Task (MET), the Commander has access to a multitude of information the Navy collects and stores in large knowledge graphs. Commanders need a way to easily specify and retrieve just those portions of the graph that are relevant to their assessment, as well as a measure they can apply to this data to help automatically determine mission readiness. We are pleased to offer Grammars for GRaph-based Assessment of Mission Readiness (GGRAMR), a framework Commanders can use to access and analyze mission relevant data to predict mission measures of performance. GGRAMR operates on a high-dimensionality, distributed knowledge graph such as Rya. GGRAMR uses a graph grammar to transform data stored in this graph into a mission-specific subgraph that captures the criteria necessary to make determinations on mission readiness. Traditional graph grammars cannot be applied directly to a distributed store such as Rya, so GGRAMR automatically translates its graph grammar rules into SPARQL queries that can be issued to retrieve the mission-specific subgraphs. GGRAMR then takes the innovative step of applying a second graph grammar to transform the mission-specific subgraph into mission-readiness subgraphs that directly represent measures of performance.