System and method for modeling relationships between entities

• US 8,386,499 B2
• Filed: 08/20/2012
• Issued: 02/26/2013
• Est. Priority Date: 03/31/2008
• Status: Active Grant

• Current Assignee: R2 Solutions LLC (Acacia Research Corporation)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Martinez, Ronald, Davis, Marc Eliot, Higgins, Christopher William, O'Sullivan, Joseph James
• Primary Examiner(s): LU, KUEN S
• Application Number:
  US13/589,786
• Publication Number:
  US 20120310612A1
• Time in Patent Office: 190 Days
• Field of Search: None
• US Class Current: 707/755
• CPC Class Codes: G06F 16/211 Schema design and management
• CPC Class Codes: G06F 16/337 Profile generation, learning or modification

Abstract

The disclosure describes systems and methods for modeling relationships between entities on a network using data collected from a plurality of communication channels including social data, spatial data, temporal data and logical data within a W4 Network. The W4 Network personalizes and automates sorting, filtering and processing of W4COMN communications delivered or requested to be delivered using personalized value-based ranking and encoding of data, which is modeled from the point-of-view (POV) of any specific user, topic or node in the W4 Distributed graph. POV modeling supplies comparative value services to users which entails individuated data models to be aggregated and used in customization and personalization forecasting for each user and their associated data management needs.

Claims

1. A method comprising:

identifying, using a computing device, a first real world entity (RWE) and a second RWE having at least one relationship;

identifying, using the computing device, a first information object (IO) associated with the first RWE that defines a state of the first RWE, and a second information object associated

with the first RWE that defines a state of a second RWE;

identifying, using the computing device, a third information object associated with the

second RWE that defines a state of the second RWE, and a fourth information object associated with the second RWE that defines a state of the first RWE, such that;

in response to a request for state information about the first RWE from a perspective of the second RWE, analyzing, using the computing device, the fourth information object;

in response to a request for state information about the second RWE from a perspective of the first RWE, analyzing, using the computing device, the second information object;

in response to a request for state information about the first RWE from a perspective of the first RWE, analyzing, using the computing device, the first information object; and

in response to a request for state information about the second RWE from a perspective of the second RWE, analyzing, using the computing device, the third information object; and

generating, using the computing device, an entity information object for each the analysis of the first, second, third and fourth information objects such that each generated entity information object defines a point-of-view (POV) relationship between each of the information objects associated with the first RWE and the second RWE.

2. The method of claim 1 further comprising storing, using the computing device, each POV relationship based upon a respective perspective of the first RWE to the second RWE and the second RWE to the first RWE.

3. The method of claim 1 further comprising identifying the POV relationship as explicit if the POV relationship between the first RWE and the second RWE is based upon an explicit declaration of the POV relationship by at least one of the first RWE and the second RWE.

4. The method of claim 1 further comprising identifying, using the computing device, the POV relationship as implicit if determined based on modeling of known interactions between the first RWE and the second RWE.

5. The method of claim 4 such that the modeling comprises a probability analysis of data contained in electronic communications between the first RWE and the second RWE.

6. The method of claim 4 such that the modeling comprises analysis of content of electronic communications between the first RWE and the second RWE.

7. The method of claim 4 such that the entity information objects represent the first RWE and the second RWE, the entity information objects comprise corresponding descriptors and identifiers for the first RWE and the second RWE.

8. The method of claim 4 further comprising determining, using the computing device, the implicit POV relationship based upon stored social data, spatial data, temporal data and logical data of the first RWE and the second RWE and the information objects associated with the first RWE and second RWE.

9. The method of claim 1 further comprising storing each POV relationship independently.

10. A non-transitory computer-readable storage medium for tangibly storing thereon computer readable instructions for a method comprising:

identifying a first real world entity (RWE) and a second RWE having at least one relationship;

identifying a first information object (IO) associated with the first RWE that defines a state of the first RWE, and a second information object associated with the first RWE that defines a state of a second RWE;

identifying a third information object associated with the second RWE that defines a state of the second RWE, and a fourth information object associated with the second RWE that defines a state of the first RWE, such that;

in response to a request for state information about the first RWE from a perspective of the second RWE, analyzing the fourth information object;

in response to a request for state information about the second RWE from a perspective of the first RWE, analyzing the second information object;

in response to a request for state information about the first RWE from a perspective of the first RWE, analyzing the first information object; and

in response to a request for state information about the second RWE from a perspective of the second RWE, analyzing the third information object; and

generating an entity information object for each the analysis of the first, second, third and fourth information objects such that each generated entity information object defines a point-of-view (POV) relationship between each of the information objects associated with the first RWE and the second RWE.

11. A computing device comprising:

a processor;

a storage medium for tangibly storing thereon program logic for execution by the processor, the program logic comprising;

logic executed by the processor for identifying a first real world entity (RWE) and a second RWE having at least one relationship;

logic executed by the processor for identifying a first information object (IO) associated with the first RWE that defines a state of the first RWE, and a second information object associated with the first RWE that defines a state of a second RWE;

logic executed by the processor for identifying a third information object associated with the second RWE that defines a state of the second RWE, and a fourth information object associated with the second RWE that defines a state of the first RWE, such that;

in response to a request for state information about the first RWE from a perspective of the second RWE, analyzing the fourth information object;

in response to a request for state information about the second RWE from a perspective of the first RWE, analyzing the second information object;

in response to a request for state information about the first RWE from a perspective of the first RWE, analyzing the first information object; and

in response to a request for state information about the second RWE from a perspective of the second RWE, analyzing the third information object; and

logic executed by the processor for generating an entity information object for each the analysis of the first, second, third and fourth information objects such that each generated entity information object defines a point-of-view (POV) relationship between each of the information objects associated with the first RWE and the second RWE.