Method and apparatus for conducting data queries using...

Data processing: database and file management or data structures – Database and file access

Reexamination Certificate

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C707S802000, C707S962000, C709S201000, C709S212000, C709S249000

Reexamination Certificate

active

07840546

ABSTRACT:
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.

REFERENCES:
patent: 6912549 (2005-06-01), Rotter et al.
patent: 2005/0147947 (2005-07-01), Cookson et al.
patent: 2009/0307184 (2009-12-01), Inouye et al.
Heather McCallum-Bayliss, Identity Resolution in a Global Environment: Fishing for People in a Sea of Names, 2004 IEEE, pp. 21-26.
Hector Garcia-Molina, Entity Resolution: Overview and Challenges, 2004, pp. 1-2.
Hector Garcia-Molina, Pair-wise entity resolution: Overview and challenges, 2006 ACM, p. 1.
Lu et al, Query evaluation and optimization in deductive and object-oriented spatial databases, 1995IST, pp. 131-143.

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