US Patent 11790245 Cognitive machine learning for semantic network

Methods, computer program products, and systems are presented. The methods include, for instance: generating a semantic network cell for a component of a semantic expression in a semantic network. The semantic network includes multiple semantic network cells. Each semantic network cell has attributes of a weight, an access count, and a latest time of access. A machine learning process reinforces the semantic network cell by access and deteriorates the semantic network cell over time based on semantic network cell weight rules, while the semantic network is servicing searches.