Systems and methods for generating and implementing knowledge graphs for knowledge representation and analysis

A method for generating a knowledge graph comprising:

• aggregating, from the at least one database, unstructured entity data for a plurality of homes;
• extracting, from the aggregated data, attribute information identifying geographic locations of the plurality of homes, and relationships between pairs of the plurality of homes;
• generating one or more knowledge graph data structures with the extracted attribute information;
• outputting a hierarchical cluster tree structure of the plurality of homes, wherein levels of the hierarchical cluster tree structure correspond to clusters of homes determined based in part on the knowledge graph edges;
• receiving an unknown entity data for an unknown home comprising one or more insufficient attribute information;
• and
• determining the insufficient attribute information using the hierarchical cluster tree structure.

A non-transitory computer readable medium storing instructions which, when executed, cause at least one processor to perform operations comprising:

• aggregating, from the at least one database, unstructured entity data for a plurality of homes;
• extracting, from the aggregated data, attribute information identifying geographic locations of the plurality of homes, and relationships between pairs of the plurality of homes;
• generating one or more knowledge graph data structures with the extracted attribute information;
• outputting a hierarchical cluster tree structure of the plurality of homes, wherein levels of the hierarchical cluster tree structure correspond to clusters of homes determined based in part on the knowledge graph edges;
• receiving an unknown entity data for an unknown home comprising one or more insufficient attribute information;
• and
• determining the insufficient attribute information using the hierarchical cluster tree structure.