Surveillance, monitoring and real-time events platform

• US 8,572,059 B2
• Filed: 07/07/2004
• Issued: 10/29/2013
• Est. Priority Date: 05/15/2001
• Status: Active Grant

• Current Assignee: Objectstore Incorporated
• Original Assignee: Objectstore Incorporated
• Inventors: Britton, Colin P., Greenblatt, Howard, Greenblatt, Alan
• Primary Examiner(s): Alam, Hosain
• Assistant Examiner(s): JOHNSON, JOHNESE T
• Application Number:
  US10/886,515
• Publication Number:
  US 20050055330A1
• Time in Patent Office: 3,401 Days
• Field of Search: 707/1, 707/705
• US Class Current: 707/705
• CPC Class Codes: G06F 16/338 Presentation of query results
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/80 for detecting, monitoring or modelling epidemics or pandemics, e.g. flu
• CPC Class Codes: H04L 67/01 Protocols

Abstract

Systems and methods according to the invention provide a surveillance, monitoring and real-time events platform to (i) enable the integration and communication of information between government agencies and organizations specifically tasked with ensuring the security and safety of our nation and its communities, (ii) to integrate information systems from federal, state and/or local agencies (from disparate data sources if necessary) in order to obtain a single, real-time view of the entire organization, and (iii) to extract more complete, actionable information from their existing systems, thereby dramatically improving decision making speed and accuracy.

Claims

1. A digital data processing system comprising:

query functionality to (i) apply requests to a plurality of data sources using an application program interface (“

API”

) associated with each of the data sources, wherein at least two of the plurality of data sources utilize different APIs, (ii) receive data from the plurality of data sources in response to the requests and to route that data to a data store,

the data store to store the data from the plurality of data sources in the form of resource description framework (RDF) triples, where, in a directed graph representation, one or more of the triples are related to one or more others of the triples by any of an ancestor and a descendant relationship,

an expert engine, coupled to at least one member of a group consisting of (i) the plurality of data sources and the query functionality, to execute rules that operate on the RDF triples to identify related data in the data store, the related data including data that match specified criteria or are related thereto,

wherein the expert engine is configured to execute the rules to any of (a) trigger further execution of rules and (b) generate alerts; and

a framework module, coupled to the expert engine, to provide data to allow display by one or more displays of information from the data store, as well as one or more alerts resulting from anomalous situations with respect thereto;

wherein the system is configured to perform one or more searches of the plurality of data sources to identify information relevant to the one or more alerts and wherein the data provided by the framework module allows display of the results of at least one member of a group consisting of the one or more searches and links to the results.

2. The digital data processing system of claim 1, wherein the rules executed by the expert engine include rules to:

(i) identify, as related, data substantially matching a criteria, and

(ii) identify, as related, data that is a direct ancestor of data identified in any of (i) and (ii), and that is not in substantial conflict with the criteria.

3. The digital data processing system of claim 1, wherein the data provided by the framework module configures a dashboard to provide one or more real-time displays of information from the data store.

4. The digital data processing system of claim 1, wherein the data provided by the framework module allows display of a plurality of panels as a result of the one or more alerts.

5. The digital data processing system of claim 2, wherein the one or more real-time displays comprise a plurality of panels, and, as a result of the one or more alerts, the framework module provides data to a dashboard to allow at least one member of a group consisting of (i) selection of one or more of the panels and (ii) creation of another panel that includes data from two or more of the plurality of data sources.

6. The digital data processing system of claim 3, wherein the one or more real-time displays comprise a plurality of panels, and, as a result of the one or more alerts, the framework module provides data to a dashboard to allow at least one member of a group consisting of (i) selection of one or more of the panels and (ii) creation of another panel that includes data from two or more of the plurality of data sources, the two or more data sources being selected based on at least one member of a group consisting of (i) a rule and (ii) a heuristic that caused the one or more alerts to be issued.

7. The digital data processing system of claim 1, wherein the plurality of data sources comprise network nodes at one or more clinical care providers, laboratories, governmental health departments, centers for disease control, and law enforcement offices.

8. The digital data processing system of claim 1, wherein the query functionality comprises any of a graph generator, algorithmic search, and an expert engine.

9. The digital data processing system of claim 1, wherein the plurality of data sources are compliant with a public health information network (PHIN) protocol, a health area network (HAN) protocol, National Electronic Disease Surveillance System (NEDSS) protocol, or other protocol for communication of at least one member of a group consisting of:

(i) health and (ii) bioterrorism data and wherein the query functionality applies requests to, and receives information from, one or more of the plurality of data sources utilizing an API or interface mechanism dictated by the PHIN, HAN or NEDSS or other protocol communication of information used in communication of health and bioterrorism data.

10. The digital data processing system of claim 9, wherein the query functionality applies SQL queries to selected ones of the plurality of data sources.

11. The digital data processing system of claim 2, wherein the criteria specifies a named relationship and a characteristic of that named relationship, and wherein to identify, as related, includes to compare at least one of the relationship and the characteristic named in a criteria with any of

(a) attributes of the direct ancestor, and

(b) a relationship between the direct ancestor and any data that descends therefrom, in order to determine whether the director ancestor is in substantial conflict with the criteria.

12. The digital data processing system of claim 1, wherein the framework module generates data to allow display of a border/port security display comprising a plurality of panels, a first of which displays information relating to at least one of the one or more alerts, a second of which displays information from a particular data source or an aggregation of data from several data sources, a third of which displays real-time data from a data source superimposed on a map of a locale.

13. The digital data processing system of claim 11, wherein the framework module generates data to allow a dashboard to respond to a selected user input with respect to an item displayed in one of the panels by displaying additional information about that item.

14. The digital data processing system of claim 12, wherein the framework module generates data to allow a dashboard to respond to an alert by displaying a zoomed-in portion of a locale shown in one of the panels and wherein the system includes additional functionality for alerting people, agencies or other entities of such alert.

15. The digital data processing system of claim 1, configured for any of border &

port security, public &

community safety, and government data integration applications.

16. A digital data processing system comprising:

query functionality to (i) apply requests to a plurality of data sources using an application program interface (“

API”

) associated with each of the data sources, wherein at least two of the plurality of data sources utilize different APIs, (ii) receive data from the plurality of data sources in response to the requests and to route that data to a data store,

the data store to store the data from the plurality of data sources in the form of resource description framework (RDF) triples, where, in a directed graph representation, one or more of the triples are related to one or more others of the triples by any of an ancestor and a descendant relationship,

an expert engine, coupled to at least member of a group consisting of (i) the plurality of data sources and the query functionality, to execute rules that operate on the RDF triples to identify related data in the data store, the related data including data that match specified criteria or are related thereto, wherein the rules executed by the expert engine include rules to;

(i) identify, as related, data substantially matching a criteria, and

(ii) identify, as related, data that is a direct ancestor of data identified in any of (i) and (ii), and that is not in substantial conflict with the criteria, wherein the expert engine is configured to execute the rules to any of (a) trigger further execution of rules and (b) generate alerts; and

,

a framework module, coupled to the expert engine, to provide data to allow display by one or more displays of information from the data store, as well as one or more alerts resulting from anomalous situations with respect thereto.

17. The digital data processing system of claim 16, wherein the system is configured to perform one or more searches of the plurality of data sources to identify information relevant to the one or more alerts and provide data to display the results of at least one member of a groups consisting of:

(i) the one or more searches and (ii) links to those results.

18. The digital data processing system of claim 16, wherein the data provided by the framework module configures a dashboard to provide one or more real-time displays of information from the data store.

19. The digital data processing system of claim 16, wherein the data provided by the framework module allows display of a plurality of panels as a result of the one or more alerts.

20. The digital data processing system of claim 18, wherein the one or more real-time displays comprise a plurality of panels, and, as a result of the one or more alerts, the framework module provides data to a dashboard to allow at least one member of a group consisting of (i) selection of one or more of the panels and (ii) creation of another panel that includes data from two or more of the plurality of data sources.

21. The digital data processing system of claim 18, wherein the one or more real-time displays comprise a plurality of panels, and, as a result of the one or more alerts, the framework module provides data to a dashboard to allow at least one member of a group consisting of (i) selection of one or more of the panels and (ii) creation of another panel that includes data from two or more of the plurality of data sources, the two or more data sources being selected based on at least one member of a group consisting of (i) a rule and (ii) a heuristic that caused the one or more alerts to be issued.

22. The digital data processing system of claim 16, wherein the plurality of data sources comprise network nodes at one or more clinical care providers, laboratories, governmental health departments, centers for disease control, and law enforcement offices.

23. The digital data processing system of claim 16, wherein the query functionality comprises any of a graph generator, algorithmic search, and an expert engine.

24. The digital data processing system of claim 16, wherein the plurality of data sources are compliant with a public health information network (PHIN) protocol, a health area network (HAN) protocol, National Electronic Disease Surveillance System (NEDSS) protocol, or other protocol for communication of health at least one member of a group consisting of:

(i) health and (ii) bioterrorism data and wherein the query functionality applies requests to, and receives information from, one or more of the plurality of data sources utilizing an API or interface mechanism dictated by the PHIN, HAN or NEDSS or other protocol communication of information used in communication of health and bioterrorism data.

25. The digital data processing system of claim 24, wherein the query functionality applies SQL queries to selected ones of the plurality of data sources.

26. The digital data processing system of claim 17, wherein the criteria specifies a named relationship and a characteristic of that named relationship, and wherein to identify, as related, includes to compare at least one of the relationship and the characteristic named in a criteria with any of

(a) attributes of the direct ancestor, and

(b) a relationship between the direct ancestor and any data that descends therefrom, in order to determine whether the director ancestor is in substantial conflict with the criteria.

27. The digital data processing system of claim 16, wherein the framework module generates data to allow display of a border/port security display comprising a plurality of panels, a first of which displays information relating to at least one of the one or more alerts, a second of which displays information from a particular data source or an aggregation of data from several data sources, a third of which displays real-time data from a data source superimposed on a map of a locale.

28. The digital data processing system of claim 25, wherein the framework module generates data to allow a dashboard to respond to a selected user input with respect to an item displayed in one of the panels by displaying additional information about that item.

29. The digital data processing system of claim 28, wherein the framework module generates data to allow a dashboard to respond to an alert by displaying a zoomed-in portion of a locale shown in one of the panels and wherein the system includes additional functionality for alerting people, agencies or other entities of such alert.

30. The digital data processing system of claim 16, configured for any of border &

port security, public &

community safety, and government data integration applications.

31. A digital data processing system comprising:

query functionality to (i) apply requests to a plurality of data sources using an application program interface (“

API”

) associated with each of the data sources, wherein at least two of the plurality of data sources utilize different APIs, (ii) receive data from the plurality of data sources in response to the requests and to route that data to a data store,

the data store to store the data from the plurality of data sources in the form of resource description framework (RDF) triples, where, in a directed graph representation, one or more of the triples are related to one or more others of the triples by any of an ancestor and a descendant relationship,

an expert engine, coupled to at least member of a group consisting of (i) the plurality of data sources and the query functionality, to execute rules that operate on the RDF triples to identify related data in the data store, the related data including data that match specified criteria or are related thereto, wherein the rules executed by the expert engine include rules to;

(i) identify, as related, data substantially matching a criteria;

(ii) identify, as related, data that is a direct ancestor of data identified in any of steps (i), (ii) and (iii), and that is not in substantial conflict with the criteria, wherein step (iii) is set forth below;

(iii) identify, as related, data (hereinafter “

identified descendent”

) that is a direct descendent of data (hereinafter “

identified ancestor”

) identified as related in any of steps (i), (ii) and (iii), and which identified descendent;

(a) does not have a named relationship with the identified ancestor substantially matching a relationship named in the criteria, if any;

(b) is not in substantial conflict with the criteria; and

(c) does not have a named relationship with the identified ancestor matching a relationship the identified ancestor has with data, if any, as a result of which the identified ancestor was identified during execution of (ii),

wherein the expert engine is configured to execute the rules to any of (a) trigger further execution of rules and (b) generate alerts; and

,

a framework module, coupled to the expert engine, to provide data to allow display by one or more displays of information from the data store, as well as one or more alerts resulting from anomalous situations with respect thereto;

wherein the system is configured to perform one or more searches of the plurality of data sources to identify information relevant to the one or more alerts and provide data to display the results of at least one member of a groups consisting of;

(i) the one or more searches and (ii) links to those results.

32. The digital data processing system of claim 31, wherein the criteria specifies a named relationship and a characteristic of that named relationship, and wherein to identify, as related, includes to compare at least one of the relationship and the characteristic named in a criteria with any of

(a) attributes of the direct ancestor, and

(b) a relationship between the direct ancestor and any data that descends therefrom, in order to determine whether the director ancestor is in substantial conflict with the criteria.

33. The digital data processing system of claim 31, wherein the plurality of data sources comprise network nodes at one or more clinical care providers, laboratories, governmental health departments, centers for disease control, and law enforcement offices.

34. The digital data processing system of claim 31, wherein the data provided by the framework module configures a dashboard to provide one or more real-time displays of information from the data store.