Hierarchical data searching using tensor searching, fuzzy searching, and bayesian networks

A server for performing a search over hierarchical data, the server comprising a processor and a non-transitory computer readable medium storing instructions thereon such that when the instructions are executed by the processor, the server performs the steps comprising:

• receiving a query string from a user device;
• searching for the query string via a tensor search of a graph structure to determine node tensor distance score for each node in the graph structure;
• searching for the query string via a fuzzy search of the graph structure to determine node fuzzy distance score for each node in the graph structure;
• determining nodes with relevant scores by updating a Bayesian network representation with evidence based on the node tensor distance scores and the node fuzzy distance scores of each node;
• and
• sending relevant data from the nodes with relevant scores to the user device.

A non-transitory computer readable medium storing instructions thereon such that when the instructions are executed by a processor, the processor performs the steps comprising:

• receiving a query string from a user device;
• searching for the query string via a tensor search of a graph structure to determine node tensor distance score for each node in the graph structure;
• searching for the query string via a fuzzy search of the graph structure to determine node fuzzy distance score for each node in the graph structure;
• determining nodes with relevant scores by updating a Bayesian network representation with evidence based on the node tensor distance scores and the node fuzzy distance scores of each node;
• and
• sending relevant data from the nodes with relevant scores to the user device.