Abstract: Certain implementations may include systems and methods for populating entity fields based on hierarchy partial resolution. According to an example implementation, a method is provided that may include identifying one or more first matching records in a hierarchical database, where matching records include one or more fields having an associated first matching field value that at least partially matches a received portion of a first query term. The method may include outputting, for display, one or more first matching field values of the one or more first matching records and receiving a second indication input signifying a selection of one of the one or more first matching field values.

Abstract: Certain implementations of the disclosed technology include systems and methods for external linking based on hierarchal level weightings. The method may include associating external query data having one or more query field values with a record in a linked hierarchical database. The linked hierarchical database may include a plurality of records, each record having a record identifier and representing an entity in a hierarchy, each record associated with a hierarchy level, each record including one or more fields, each field configured to contain a field value. The associating may include receiving the external query data, wherein the external query data includes one or more search values; and identifying, from the plurality of records in the linked hierarchical database, one or more matched fields having field values that at least partially match the one or more search values.

Abstract: Disclosed is a system for, and method of, recycling field value weights as computed for database linking purposes. Such field value weights may be used for a search operation. In some embodiments, such weights may be used for a search operation prior to their values stabilizing during an iterative linking operation.

Abstract: Techniques may be used to match records of a batch file to an entity representation in a universal database. Inputs may include, but are not limited to, a batch file and a universal (or other) database. The technique may compare the records of the batch file to the records of the universal database, and may attempt to create matches between the records in the batch file and the entity representations or records in the universal database. One possible output may include one or more tables that include foreign record IDs of the batch file records, each in association with an entity representation of the universal database. The techniques may include a batch style processing of records.

Abstract: Disclosed is a system for, and method of, determining whether records and entity representations should be linked. The system and method include assigning to each pair of entity references a match value reflecting the likelihood that the entity references are related. Based on the match values, each entity reference may then associated with a preferred entity reference. Pairs of entity references that are mutually preferred may then be identified and linked. The process may be iterated to generate further links.

Abstract: Disclosed is a system for, and method of, searching for and identifying one or more entity representations using comprehensive search criteria built from known entity representations. The comprehensive search criteria are permitted to include inconsistent field values, that is, multiple different field values corresponding to the same field. The system and method may perform using search queries or batch files.

Abstract: Certain implementations of the disclosed technology include systems and methods for linking entities in an internal database by utilizing co-convergence and clustering. The method may include clustering database records into a first set of clusters having corresponding first cluster identifications (IDs). The clustering may be based at least in part on determining similarity among corresponding field values. The method may include associating mutually matching database records, by performing at least one matching iteration for each of the database records. The method may include determining similarity among corresponding field values of the database records, re-clustering at least a portion of the database records into a second set of clusters, the re-clustering based at least in part on the associating mutually matching database records and on the determining similarity among corresponding field values of the database records.

Abstract: Certain implementations of the disclosed technology include systems and methods for internal co-convergence using clustering when there is hierarchy in the data structure. A method is included for clustering hierarchical database records into a first set of clusters having corresponding first cluster identifications (IDs), each hierarchical database record including one or more field values, the clustering based at least in part on determining similarity among corresponding field values of the hierarchical database records. The method includes receiving parent-child hierarchical relationship information for the hierarchical database records, re-clustering at least a portion of the hierarchical database records into a second set of clusters having corresponding second cluster IDs, the re-clustering based at least in part on the received parent-child hierarchical relationship information, and outputting hierarchical database record information, based at least in part on the re-clustering.

Abstract: Certain implementations may include systems and methods for populating entity fields based on hierarchy partial resolution. According to an example implementation, a method is provided that may include identifying one or more first matching records in a hierarchical database, where matching records include one or more fields having an associated first matching field value that at least partially matches a received portion of a first query term. The method may include outputting, for display, one or more first matching field values of the one or more first matching records and receiving a second indication input signifying a selection of one of the one or more first matching field values.

Abstract: Disclosed is a system for, and method of, recycling field value weights as computed for database linking purposes. Such field value weights may be used for a search operation. In some embodiments, such weights may be used for a search operation prior to their values stabilizing during an iterative linking operation.

Abstract: Disclosed is a system for, and method of, identifying an entity representation. In some embodiments, a match template is used to partition a search criteria so that an expected number of matching records does not exceed a desired threshold. In such embodiments, the match template may limit the number of records that are expected to identically match in certain fields designated as fixed fields, and limit the number of records that are expected to either identically match or have blank field values in certain fields designated as optional fields. Such embodiments thus provide probabilistic limits on a number of database fetches required for a particular search and on a number of record transfers required for a particular search.

Abstract: Techniques may be used to match records of a batch file to an entity representation in a universal database. Inputs may include, but are not limited to, a batch file and a universal (or other) database. The technique may compare the records of the batch file to the records of the universal database, and may attempt to create matches between the records in the batch file and the entity representations or records in the universal database. One possible output may include one or more tables that include foreign record IDs of the batch file records, each in association with an entity representation of the universal database. The techniques may include a batch style processing of records.

Abstract: Disclosed is a system for, and method of, determining whether records and entity representations should be linked. The system and method include assigning to each pair of entity references a match value reflecting the likelihood that the entity references are related. Based on the match values, each entity reference may then associated with a preferred entity reference. Pairs of entity references that are mutually preferred may then be identified and linked. The process may be iterated to generate further links.

Abstract: Disclosed is a system for, and method of, searching for and identifying an entity representation. Some embodiments permit search criteria that are internally inconsistent. Such internally inconsistent criteria may include, for example, a maiden last name and a married last name. Certain embodiments account for such criteria in an intelligent manner and identify matching entity representations with a known confidence level of accuracy.

Abstract: Disclosed is a system for, and method of, calculating parameters used to determine whether records and entity representations should be linked. Such parameters may be set as negative to account for fields that do not match. The system and method apply iterative techniques such that parameters from each linking iteration are used in the next linking iteration. The system and method need no human interaction in order to calibrate and utilize record matching formulas used for the linking decisions.

Abstract: Disclosed is a system for, and method of, calculating parameters used to determine whether records and entity representations should be linked. The system and method use a symmetric, transitive and reflexive function to allow for linking records and entity representations whose field values differ. The system and method apply iterative techniques such that parameters from each linking iteration are used in the next linking iteration. The system and method need no human interaction in order to calibrate and utilize record matching formulas used for the linking decisions.

Abstract: Disclosed are a system for, and method of, determining whether records correspond to the same individual. The system and method provide such a determination with a known minimum level of confidence. That is, the system and method provide an indication that records correspond to the same individual along with an associated confidence level. The system and method may be used to link records in a database that correspond to the same individuals, creating entity representations in the database.

Abstract: Disclosed is a system for, and method of, identifying an entity representation. In some embodiments, search criteria are used to identify an entity representation in a universal database, and this identification is then used to identify a corresponding entity representation in a foreign database. Certain embodiments provide assurance, with a know probability of error, that the entity representation identified in the universal database is correct.

Abstract: Disclosed is a system for, and method of, calculating parameters used to determine whether records and entity representations should be linked. The system and method use a symmetric and reflexive function to allow for linking records and entity representations whose field values differ. The system and method apply iterative techniques such that parameters from each linking iteration are used in the next linking iteration. The system and method need no human interaction in order to calibrate and utilize record matching formulas used for the linking decisions. These techniques may be used for geographic location proximity matching.

Abstract: Disclosed are systems for, and methods of, automatically detecting and treating field values of a particular field as null field values in records of a database. The system and method provide automatic treatment of these field values as null field values by calculating a critical frequency for the field. Based on the critical frequency of the field, the system and method treats field values that occur more than the critical frequency of the field as null field values and treats field values that occur less than the critical frequency as non-null field values.