Methods, systems, and computer program products for implementing intelligent agent services

• US 8,346,715 B2
• Filed: 10/24/2011
• Issued: 01/01/2013
• Est. Priority Date: 12/20/2005
• Status: Active Grant

• Current Assignee: Bellsouth Intellectual Property Corporation (AT&T, Inc.)
• Original Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Inventors: Tischer, Steven
• Primary Examiner(s): HASAN, SYED HAROON
• Application Number:
  US13/279,617
• Publication Number:
  US 20120041978A1
• Time in Patent Office: 435 Days
• Field of Search: None
• US Class Current: 707/600
• CPC Class Codes: G06F 16/22 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/2379 Updates performed during online database operations; commit processing
• CPC Class Codes: G06F 16/288 Entity relationship models
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: Y10S 707/99933 Query processing, i.e. searching
• CPC Class Codes: Y10S 707/99943 Generating database or data structure, e.g. via user interface

Abstract

Implementing intelligent agent services includes generating an ontological domain for an individual based upon sets of information elements. A set of the information elements represents aspects of a detectable behavior of the individual at a point in time. The detectable behavior is one of a number of detectable behaviors of the individual occurring within a physical and virtual geography and in relation to time. The detectable behaviors include an activity conducted by the individual at a computer and a presence of the individual at a function. Implementing the intelligent agent services also includes determining relevance of relationships among the sets of the information elements in the ontological domain, and searching sources of information using the sets of the information elements having a relationship determined to be relevant, and identifying a solution for satisfying an interest based on the search.

Claims

1. A method for implementing intelligent agent services, comprising:

generating, via a computer, an ontological domain for an individual based upon a plurality of sets of information elements, wherein a set of the information elements represents aspects of a detectable behavior of the individual at a point in time, the detectable behavior comprising one of a number of detectable behaviors of the individual occurring within a physical and virtual geography and in relation to time, the detectable behaviors including an activity conducted by the individual at a computer and a presence of the individual at a function;

determining, via the computer, relevance of relationships among the plurality of sets of the information elements in the ontological domain, wherein a relationship determined to be relevant is identified as an interest of the individual; and

searching sources of information using the plurality of sets of the information elements having the relationship determined to be relevant, and identifying a solution for satisfying the interest responsive to the searching, the solution having a relationship to the activity conducted at the computer and the presence of the individual at the function.

2. The method of claim 1, wherein the generating includes creating subdomains of contextually organized collections of the plurality of sets of the information elements, the subdomains including any orthogonally related data identified among the detectable behaviors.

3. The method of claim 1, further comprising:

formatting the solution into a message; and

presenting the message to a device associated with the individual.

4. The method of claim 1, wherein the searching sources of information further comprises:

creating a search string from the plurality of sets of the information elements;

gathering data in response to the searching using the search string, and comparing the data to the plurality of sets of the information elements;

identifying matches between the data and the plurality of sets of the information elements; and

analyzing the matches to determine the solution.

5. The method of claim 2, further comprising:

dynamically updating the ontological domain over time by iteratively gathering the information elements in response to continuous detection of behaviors of the individual, and updating the subdomains to reflect the iteratively gathering; and

updating the interest based upon updates made to the ontological domain.

6. The method of claim 1, further comprising:

storing each of the plurality of sets of information elements in a corresponding record using a standard data structure having corresponding data fields, the record including a unique identifier; and

storing records produced for each of the plurality of sets of the information elements in a database; and

creating subdomains of the ontological domain that include orthogonally related data by identifying matching information elements from data fields across multiple records in the database via corresponding unique identifiers.

7. The method of claim 1, wherein the presence of the individual at the function is determined by a cellular network and device in combination with the activity conducted by the individual at the computer.

8. A system for implementing intelligent agent services, comprising:

a host system computer; and

an application executing on the host system computer, the application implementing;

generating an ontological domain for an individual based upon a plurality of sets of information elements, wherein a set of the information elements represents aspects of a detectable behavior of the individual at a point in time, the detectable behavior comprising one of a number of detectable behaviors of the individual occurring within a physical and virtual geography and in relation to time, the detectable behaviors including an activity conducted by the individual at a computer and a presence of the individual at a function;

determining relevance of relationships among the plurality of sets of the information elements in the ontological domain, wherein a relationship determined to be relevant is identified as an interest of the individual; and

searching sources of information using the plurality of sets of the information elements having the relationship determined to be relevant, and identifying a solution for satisfying the interest responsive to the searching, the solution having a relationship to the activity conducted at the computer and the presence of the individual at the function.

9. The system of claim 8, wherein the generating includes creating subdomains of contextually organized collections of the plurality of sets of the information elements, the subdomains including any orthogonally related data identified among the detectable behaviors.

10. The system of claim 8, wherein the application further implements:

formatting the solution into a message; and

presenting the message to a device associated with the individual.

11. The system of claim 8, wherein the searching sources of information further comprises:

creating a search string from the plurality of sets of the information elements;

gathering data in response to the searching using the search string, and comparing the data to the plurality of sets of the information elements;

identifying matches between the data and the plurality of sets of the information elements; and

analyzing the matches to determine the solution.

12. The system of claim 9, wherein the application further implements:

dynamically updating the ontological domain over time by iteratively gathering the information elements in response to continuous detection of behaviors of the individual, and updating the subdomains to reflect the iteratively gathering; and

updating the interest based upon updates made to the ontological domain.

13. The system of claim 8, wherein the application further implements:

storing each of the plurality of sets of information elements in a corresponding record using a standard data structure having corresponding data fields, the record including a unique identifier; and

storing records produced for each of the plurality of sets of the information elements in a database; and

creating subdomains of the ontological domain that include orthogonally related data by identifying matching information elements from data fields across multiple records in the database via corresponding unique identifiers.

14. A computer program product for implementing intelligent agent services, the computer program product including instructions embodied on a computer storage medium which when executed by a computer cause the computer to implement a method, the method comprising:

generating an ontological domain for an individual based upon a plurality of sets of information elements, wherein a set of the information elements represents aspects of a detectable behavior of the individual at a point in time, the detectable behavior comprising one of a number of detectable behaviors of the individual occurring within a physical and virtual geography and in relation to time, the detectable behaviors including an activity conducted by the individual at a computer and a presence of the individual at a function;

determining relevance of relationships among the plurality of sets of the information elements in the ontological domain, wherein a relationship determined to be relevant is identified as an interest of the individual; and

searching sources of information using the plurality of sets of the information elements having the relationship determined to be relevant, and identifying a solution for satisfying the interest responsive to the searching, the solution having a relationship to the activity conducted at the computer and the presence of the individual at the function.

15. The computer program product of claim 14, wherein the generating includes creating subdomains of contextually organized collections of the plurality of sets of the information elements, the subdomains including any orthogonally related data identified among the detectable behaviors.

16. The computer program product of claim 14, wherein the instructions further cause the computer to implement:

formatting the solution into a message; and

presenting the message to a device associated with the individual.

17. The computer program product of claim 14, wherein the searching sources of information further comprises:

creating a search string from the plurality of sets of the information elements;

gathering data in response to the searching using the search string, and comparing the data to the plurality of sets of the information elements;

identifying matches between the data and the plurality of sets of the information elements; and

analyzing the matches to determine the solution.

18. The computer program product of claim 15, wherein the instructions further cause the computer to implement:

dynamically updating the ontological domain over time by iteratively gathering the information elements in response to continuous detection of behaviors of the individual, and updating the subdomains to reflect the iteratively gathering; and

updating the interest based upon updates made to the ontological domain.

19. The computer program product of claim 14, wherein the instructions further cause the computer to implement:

storing each of the plurality of sets of information elements in a corresponding record using a standard data structure having corresponding data fields, the record including a unique identifier; and

storing records produced for each of the plurality of sets of the information elements in a database; and

creating subdomains of the ontological domain that include orthogonally related data by identifying matching information elements from data fields across multiple records in the database via corresponding unique identifiers.

20. The computer program product of claim 14, wherein the presence of the individual at the function is determined by a cellular network and device in combination with the activity conducted by the individual at the computer.