| 摘要 |
Query inefficiencies are improved and entity-interrelational blindness is overcome by employing two ideas: Consolidation Strings and Inter-Node Consolidation. These ideas can be typically employed in law-enforcement records systems (such as COPLINK systems), but is certainly not limited to such an application. Consolidation Strings represent key pieces of information that are in a text/character format, and may be encrypted/hashed. A system's hierarchy of consolidation rules automatically determine if two different rows in a database actually refer to the same real-world object. These rules are NOT statistical or probabilistic in nature, thus enhancing the confidence and reliability in the results. Three general classifications of Consolidation Strings are encompassed: Those based on positive identifiers, those based on demographic information, and those based on associative information that spans multiple-entity types. Inter-Node Consolidation provides a means to facilitate the communication of updated consolidation information between data-source nodes in order to leverage the advantages of Consolidation Strings.
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