Method and system for search, analysis and display of structured data

• US 20060136417A1
• Filed: 12/17/2004
• Published: 06/22/2006
• Est. Priority Date: 12/17/2004
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Avinash, Gopal B., Weiner, Allison Leigh
• Application Number:
  US11/015,848
• Publication Number:
  US 20060136417A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/40 of multimedia data, e.g. slideshows comprising image and additional audio data retrieval of still image data G06F16/50; retrieval of audio data G06F16/60; retrieval of video data G06F16/70
• CPC Class Codes: G06F 16/48 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually

Abstract

A technique is disclosed for analyzing data entities of interest, including text, image, waveform, audio, video and other types of data. The data entities are accessed and identified in accordance with a domain definition and attributes contained in the entities. The attributes may be user-defined, as may the domain definition. The entities are classified in a one-to-many classification according to the domain definition. User-viewable representations are generated that present analysis of the entities, such as identifying similarities and distinctions between them based upon their attributes and the domain definition.

Claims

1. A computer implemented method for analyzing data entities comprising:

accessing at least one data entity classified in a one-to-many classification in accordance with a domain definition including a plurality of classification axes and a plurality of classification labels for each axis, the data entity having attributes corresponding to the axes and labels;

analyzing the at least one data entity in accordance with the classification; and

generating a user-viewable representation of the analysis.

2. The method of claim 1, wherein the user viewable representation includes features of the at least one data entity including user viewable indicia in accordance with the classification.

3. The method of claim 1, wherein multiple data entities are accessed that have been classified in accordance with the domain definition, and wherein the analysis includes identifying similarities and distinctions between the attributes of the multiple data entities, and wherein the user-viewable representation includes a representation of the similarities and distinctions.

4. The method of claim 3, wherein the analysis includes a statistical analysis of the multiple data entities in accordance with at least one of the axes and labels of the domain definition, and wherein the user-viewable representation includes identification data entities classified in accordance with at least one axis or label.

5. The method of claim 1, wherein the attributes include at least two different types of attributes selected from a group consisting of text attributes, image attributes, video attributes, waveform attributes and audio attributes.

6. The method of claim 1, wherein the user-viewable representation includes indicia of counts of data entities sharing an attributes of interest.

7. The method of claim 6, wherein the user-viewable representation includes a listing of data entities sharing attributes of interest.

8. The method of claim 1, wherein the user-viewable representation includes a link to at least a portion of a data entity permitting display of at least a portion of the linked data entity.

9. The method of claim 1, wherein the user-viewable representation includes a graphical comparison of data entities in accordance with at least one of the axes or labels of the domain definition.

10. The method of claim 1, wherein the user-viewable representation is user-configurable.

11. A computer implemented method for analyzing data entities comprising:

defining a domain including a plurality of classification axes and a plurality of classification labels for each axis;

accessing a plurality of data entities potentially having attributes of interest;

identifying data entities having attributes corresponding to the axes and labels based upon the domain definition;

classifying the identified data entities in accordance with the identified attributes; and

representing classification of the identified data entities in the domain based upon the attributes.

12. The method of claim 11, wherein the user-viewable representation includes a listing of data entities sharing at least one attribute.

13. The method of claim 11, wherein the attributes include at least two different types of attributes selected from a group consisting of text attributes, image attributes, video attributes, waveform attributes and audio attributes.

14. A computer-implemented method for analyzing data entities comprising:

defining a domain including a plurality of classification axes and a plurality of classification labels for each axis;

generating a search template based upon the domain definition for user selection of criteria for analysis of the data entities;

accessing a plurality of data entities potentially having attributes of interest;

identifying data entities having attributes corresponding to the axes and labels based upon the association list;

classifying the identified data entities in accordance with the corresponding attributes; and

representing classification of the identified data entities in the domain based upon the search template.

15. A computer implemented system for analyzing data entities comprising:

a graphical representation of a plurality of conceptual axes subdividing a domain of interest;

a graphical representation of a plurality of conceptual labels subdividing the axes; and

a plurality of user configurable attributes to be associated with each of the axes and labels.

17. The system of claim 15, wherein the attributes include at least two different types of attributes selected from a group consisting of text attributes, image attributes, video attributes, waveform attributes and audio attributes.

18. A computer program analyzing data entities comprising:

at least one machine readable medium;

computer code stored on the at least one machine readable medium including code for accessing at least one data entity classified in a one-to-many classification in accordance with a domain definition including a plurality of classification axes and a plurality of classification labels for each axis, the data entity having attributes corresponding to the axes and labels, analyzing the at least one data entity in accordance with the classification, and generating a user-viewable representation of the analysis.

19. A computer program analyzing data entities comprising:

at least one machine readable medium;

computer code stored on the at least one machine readable medium including code for defining a domain including a plurality of classification axes and a plurality of classification labels for each axis, accessing a plurality of data entities potentially having attributes of interest, identifying data entities having attributes corresponding to the axes and labels based upon the domain definition, classifying the identified data entities in accordance with the identified attributes, and representing classification of the identified data entities in the domain based upon the attributes.

20. A computer program analyzing data entities comprising:

at least one machine readable medium;

computer code stored on the at least one machine readable medium including code for defining a domain including a plurality of classification axes and a plurality of classification labels for each axis, generating a search template based upon the domain definition for user selection of criteria for analysis of the data entities, accessing a plurality of data entities potentially having attributes of interest, identifying data entities having attributes corresponding to the axes and labels based upon the association list, classifying the identified data entities in accordance with the corresponding attributes, and representing classification of the identified data entities in the domain based upon the search template.