Its main contribution is reducing the complexity of calculating semantic distances.
SSN representation allows propagation algorithms to faster calculate semantic similarities, including stop conditions within a specified threshold.
This reduces the computation time and power required for calculation.
[7] Specific Semantic Similarity Network application on healthcare was presented at the Healthcare information exchange Format (FHIR European Conference) 2019.
[8][9] The latest evolution in Artificial Intelligence (like ChatGPT, based on Large language model), relay strongly on evolutionary computation, the next level will be to include semantic unification (like in the Semantic Networks and this Semantic similarity network) to extend the current models with more powerful understanding tools.