Systems and methods for providing semantically enhanced identity management

• US 8,041,743 B2
• Filed: 12/19/2008
• Issued: 10/18/2011
• Est. Priority Date: 04/17/2007
• Status: Active Grant

• Current Assignee: Semandex Networks, Inc.
• Original Assignee: Semandex Networks, Inc.
• Inventors: Cohen, Andrew Jacob, Reininger, Daniel J., Kulberda, Raymond William, Makwana, Dhananjay D., Armstrong, Jef Russell, Mago, Rajeev, Mershon, Jeffrey David
• Primary Examiner(s): Corrielus; Jean M
• Application Number:
  US12/339,513
• Publication Number:
  US 20090160658A1
• Time in Patent Office: 1,033 Days
• Field of Search: 707/794, 707/803, 707/628, 707/632, 707/798, 707/999.101, 707/999.102
• US Class Current: 707/794
• CPC Class Codes: G06F 16/36 Creation of semantic tools, e.g. ontology or thesauri
• CPC Class Codes: G06F 16/367 Ontology
• CPC Class Codes: G06F 40/169 Annotation, e.g. comment data or footnotes
• CPC Class Codes: G07C 9/37 using biometric data, e.g. fingerprints, iris scans or voice recognition

Abstract

Systems and methods are provided to enhance biometric data available to authorities to identify individuals by linking the available biometric data semantically to data from other sources to improve identity management using a semantic computing server that builds a semantic graph based on the data. Using a semantic graph helps determine the identity and possible intention to deceive of certain individuals.

Claims

1. A semantically enhanced identity management system providing a network semantic graph comprising concept instances and relations between the concept instances, the system comprising:

a plurality of semantic servers in communication with each other and with distributed sources, wherein each of the plurality of semantic servers comprises;

a first interface for receiving biometric results from a biometric matching system that processes biometric data, wherein the biometric results include biometric data for at least one person;

a second interface for receiving semantic data including semantically descriptive annotations from the distributed sources and other ones of the plurality of semantic servers; and

a processor programmed to;

process the semantic data based on the semantically descriptive annotations of the data to form a local semantic graph that associates the concept instances with each other using the relations;

integrate the biometric results with the local semantic graph; and

use the information stored in the local semantic graph to identify a person; and

memory for storing the local semantic graph;

wherein each local semantic graph of each of the plurality of semantic servers comprises a portion of the network semantic graph distributed across the plurality of semantic servers.

2. The system of claim 1, wherein the processor is further programmed to issue an alert to at least one user based on the network semantic graph, a biometric signature, and the biometric match results.

3. The system of claim 1, wherein the biometric matching system comprises at least one of a facial recognition system, an iris identification system, a hand geometry system, a palm scanning system, a signature/handwriting analysis system, a voice imaging/mapping system, a 3D facial/movement reconstruction or identification system, a photo/video enhancement and identification system, and a sound identification system.

4. The system of claim 1, wherein the first interface and the second interface comprise the same physical interface.

5. The system of claim 1, wherein processors of some of the plurality of semantic servers are programmed to update the network semantic graph while processors of others of the plurality of semantic servers are programmed to operate on the network semantic graph.

6. The system of claim 1, wherein the processor is programmed to provide anomaly detection to verify an identity of a person.

7. The system of claim 6, wherein the anomaly detection to verify an identity of a person includes anomaly detection to dispute an identity of a person.

8. The system of claim 7, wherein the processor is further programmed to group information and search for anomalies, wherein the information includes at least one of specific indicators of suspicious activity or persons of interest based on the persons nationality, travel patterns, age, associations, declarations, stated reasons to travel, hotels, flights and duration of stay.

9. The system of claim 7, wherein the processor is further programmed to provide a list of similar anomalies so that a search can be done for the similar anomalies to determine if a new pattern in behavior exists or if the pattern has previously occurred.

10. A semantically enhanced identity management server storing a local semantic graph comprising concept instances and relations between the concept instances, the semantic server comprising:

a first interface for receiving biometric results from a biometric matching system that processes biometric data;

a second interface for receiving data including semantically descriptive annotations from distributed sources and other ones of the plurality of semantic servers;

a processor programmed to;

process data based on the semantically descriptive annotations of the data to form the local semantic graph that associates the concept instances with each other using the relations;

integrate the biometric results with the local semantic graph; and

use the information stored in the local semantic graph to identify a person; and

memory for storing the local semantic graph, the local semantic graph comprising part of a network semantic graph distributed among a plurality of semantic servers.

11. The server of claim 10, wherein the process is further programmed to issue an alert to at least one user based on the network semantic graph, a biometric profile, and the biometric results.

12. The server of claim 10, wherein the biometric matching system comprises at least one of a facial recognition system, an iris identification system, a hand geometry system, a palm scanning system, a signature/handwriting analysis system, a voice imaging/mapping system, a 3D facial/movement reconstruction or identification system, a photo/video enhancement and identification system, and a sound identification system.

13. The server of claim 10, wherein the first interface and the second interface comprise the same physical interface.

14. The system of claim 10, wherein the processor is further programmed to provide anomaly detection to verify an identity of a person.

15. The system of claim 14, wherein the anomaly detection to verify an identity of a person includes anomaly detection to dispute an identity of a person.

16. The system of claim 15, wherein the processor is further programmed to group information and search for anomalies, wherein the information includes at least one of affiliations, associations, suspicious activities, and patterns.

17. The system of claim 15, wherein the processor is further programmed to provide a list of similar anomalies so that a search can be done for similar anomalies to determine if a new pattern in behavior exists or if the pattern has previously occurred.

18. A method for providing at least one client access to a network semantic graph distributed among a plurality of semantic servers wherein the network semantic graph comprises concept instances and relations between the concept instances, the method comprising:

receiving first data including semantically distributed annotations from distributed data sources in communication with the plurality of semantic servers;

based on the first data including the annotations, linking the concept instances using the relations;

storing the concept instances and relations as a local semantic graph comprising a part of the network semantic graph;

receiving biometric results from a biometric matching system that processes biometric data;

integrating the biometric results with the local semantic graph;

creating at least one subscription of interest over the network semantic graph in response to a request from the at least one client;

collecting second data from the distributed data sources based on the at least one subscription;

semantically annotating the second data;

updating the local semantic graph based on the semantic annotation; and

sending alerts to the at least one client based on updates to the local semantic graph matching the at least one subscription of the at least one client.

19. The method of claim 18, wherein sending alerts to the at least one client includes issuing an alert to the at least one client based on the network semantic graph, a biometric profile, and the biometric results.

20. The method of claim 18, wherein the biometric matching system comprises at least one of a facial recognition system, an iris identification system, a hand geometry system, a palm scanning system, a signature/handwriting analysis system, a voice imaging/mapping system, a 3D facial/movement reconstruction or identification system, a photo/video enhancement and identification system, and a sound identification system.