#4395 Systems Engineering Knowledge Graph Applications
#4395 Systems Engineering Knowledge Graph Applications #4395 Think innovatively. Given a knowledge graph of system domains, systems, subsystems, components, parts and defined function of each, describe 15 research paths looking for opportunities to improve existing systems To innovate within a complex system hierarchy—from the broad domain down to the individual part—we need to look at the "connective tissue" and the functional gaps. Researching these systems requires a mix of top-down systemic analysis and bottom-up material science. Here are 15 research paths designed to uncover hidden optimizations within a multi-tiered knowledge graph: 1. Functional Redundancy Elimination Scan the graph for identical functions performed by different subsystems. Research whether a single, high-performance component can fulfill both roles, reducing mass and complexity. Target: Cross-subsystem integration. 2. Cross-Domain Biomimicry Map the "Defined Function" of a failing or ine...