1. A computer-implemented method comprising: clustering hierarchical database records into a first set of clusters having corresponding first cluster identifications (IDs), wherein each hierarchical database record corresponds to an entity representation, each hierarchical database record comprising a plurality of fields, each field configured to contain a field value, and each field value assigned a field value weight corresponding to a specificity of the field value in relation to all field values in a corresponding field of the hierarchical database records, the clustering based at least in part on determining similarity among corresponding field values of the hierarchical database records; determining parent-child hierarchical relationships among the hierarchical database records; associating related hierarchical database records by applying a hierarchal directional linking process, the hierarchal directional linking process comprising selecting and applying at least an upward process based on the determined parent-child hierarchical relationship wherein the upward process comprises: determining, from the parent-child hierarchical relationships, similarity among a plurality of child records having initial separate parent records; in response to determining a threshold similarity among the plurality of child records, inferring that the initial separate parent records correspond to the same entity; and linking, responsive to the inferring, the initial separate parent records as inferred common parent records; and outputting database record information, based at least in part on associating the related hierarchical database records.
1. A computer-implemented method comprising: clustering hierarchical database records into a first set of clusters having corresponding first cluster identifications (IDs), wherein each hierarchical database record corresponds to an entity representation, each hierarchical database record comprising a plurality of fields, each field configured to contain a field value, and each field value assigned a field value weight corresponding to a specificity of the field value in relation to all field values in a corresponding field of the hierarchical database records, the clustering based at least in part on determining similarity among corresponding field values of the hierarchical database records; determining parent-child hierarchical relationships among the hierarchical database records; associating related hierarchical database records by applying a hierarchal directional linking process, the hierarchal directional linking process comprising selecting and applying at least an upward process based on the determined parent-child hierarchical relationship wherein the upward process comprises: determining, from the parent-child hierarchical relationships, similarity among a plurality of child records having initial separate parent records; in response to determining a threshold similarity among the plurality of child records, inferring that the initial separate parent records correspond to the same entity; and linking, responsive to the inferring, the initial separate parent records as inferred common parent records; and outputting database record information, based at least in part on associating the related hierarchical database records. 3. The method of claim 1 , wherein determining the similarity among the corresponding field values of the database records comprises: assigning a hyperspace attribute to each database record, wherein the hyperspace attribute corresponding to two database records is correlated with a similarity of the corresponding field values of the two database records; determining membership of each database record in a plurality of hyperspace clusters based at least in part on the hyperspace attributes; assigning, to each record, a cluster ID and a match value reflecting a likelihood that the record is a member of a particular hyperspace cluster; and linking related records based at least in part on the cluster ID and the match value.