User-specific synthetic context object matching

Patent metadata

Field	Value
Publication number	US-9251237-B2
Application number	US-201213610523-A
Country	US
Kind code	B2
Filing date	Sep 11, 2012
Priority date	Sep 11, 2012
Publication date	Feb 2, 2016
Grant date	Feb 2, 2016

Abstract

A processor-implemented method, system, and/or computer program product generates and utilizes a synthetic context-based object to locate a user-specific data store. A processor associates a non-contextual data object with a context object to define a synthetic context-based object. The synthetic context-based object is associated with at least one specific data store that contains data that is associated with data in the non-contextual data object and in the context object. The processor determines a subject-matter of interest for a specific user, and associates that determined subject-matter of interest to a specific synthetic context-based object. In response to receiving a request for data from a specific user, the request is directed to the specific synthetic context-based object that describes the subject-matter of interest for that specific user. This specific synthetic context-based object locates the appropriate data store in order to return the requested data to the specific user.

First claim

What is claimed is:

1. A processor-implemented method for generating and utilizing a synthetic context-based object to locate a user-specific data store, the processor-implemented method comprising:
associating, by a processor, a non-contextual data object with a context object to define a synthetic context-based object, wherein the non-contextual data object ambiguously relates to multiple subject-matters, wherein data within the non-contextual data object has no meaning until said data is matched to a specific context object from a context object database, wherein the context object provides a context that identifies a specific subject-matter, from the multiple subject-matters, of the non-contextual data object, and wherein the context object that is associated with the non-contextual data object is selected from a plurality of context objects stored in the context object database;
associating, by the processor, the synthetic context-based object with at least one specific data store, wherein said at least one specific data store comprises data that is associated with data contained in the non-contextual data object and the context object, wherein said at least one specific data store is from a heterogeneous data structure wherein the heterogeneous data structure contains data stores that are in different formats;
matching, by the processor, the at least one specific data store to the synthetic context-based object in response to the at least one specific data store and the synthetic context-based object each containing the non-contextual data object and the context object;
determining, by the processor, a subject-matter of interest for a specific user;
associating, by the processor, the subject-matter of interest to a specific synthetic context-based object, wherein the specific synthetic context-based object is associated with data that describes the subject-matter of interest for the specific user;
further determining, by the processor, the subject-matter of interest for the specific user by data mining a database that describes current interests of the specific user;
constructing, by the processor, multiple avatars that represent multiple subject-matters of interest;
displaying, by the processor, the multiples avatars on a user interface;
further determining, by the processor, the subject-matter of interest for the specific user by receiving a selection of a specific avatar from the specific user, wherein the specific avatar is associated with the subject-matter of interest for the specific user;
receiving, from the specific user, a request for data from at least one data store that is associated with the subject-matter of interest that has been determined for the specific user;
directing, by the processor, the request to the specific synthetic context-based object that is associated with data that describes the subject-matter of interest for the specific user based on the at least one s ecific data store and the synthetic context-based object each containing the non-contextual data object and the context object and based on the specific avatar that is selected by the user;
locating, via the specific synthetic context-based object, said at least one specific data store that is associated with the subject-matter of interest; and
returning, by the processor, data from said at least one specific data store that is associated with the subject-matter of interest to the specific user.

2. The processor-implemented method of claim 1 , further comprising:
determining the subject-matter of interest for the specific user by receiving a user input that identifies the subject-matter of interest for the specific user.

3. The processor-implemented method of claim 1 , further comprising:
determining the subject-matter of interest for the specific user by data mining a database that describes an educational background of the specific user.

4. The processor-implemented method of claim 1 , further comprising:
determining the subject-matter of interest for the specific user by data mining a database that identifies interests of friends of the specific user.

5. The processor-implemented method of claim 1 , further comprising:
determining the subject-matter of interest for the specific user by data mining a database that describes where the specific user resides.

6. The processor-implemented method of claim 1 , further comprising:
determining the subject-matter of interest for the specific user by data mining a database that describes an employment history of the specific user.

7. The processor-implemented method of claim 1 , wherein the specific subject-matter for a particular data store in the heterogeneous data structure overlaps a subject-matter of another data store in the data structure.

8. The processor-implemented method of claim 1 , wherein said at least one specific data store is a text document, and wherein the processor-implemented method further comprises:
searching, by the processor, the text document for text data that is part of the synthetic context-based object; and
associating the text document that contains said text data with the synthetic context-based object.

9. The processor-implemented method of claim 1 , wherein said at least one specific data store is a video file, and wherein the processor-implemented method further comprises:
searching, by the processor, metadata associated with the video file for text data that is part of the synthetic context-based object; and
associating the video file having said metadata with the synthetic context-based object.

10. The processor-implemented method of claim 1 , wherein said at least one specific data store is a web page, and wherein the processor-implemented method further comprises:
searching, by the processor, the web page for text data that is part of the synthetic context-based object; and
associating the web page that contains said text data with the synthetic context-based object.

11. The processor-implemented method of claim 1 , further comprising:
receiving the request from the specific user via a request pointer, wherein the request pointer points to a user-specified synthetic context-based object.

12. The processor-implemented method of claim 1 , wherein the different formats used by the data stored in the heterogeneous data structure include a text format, an image format, and a relational database format.

13. A computer program product for generating and utilizing synthetic context-based objects, the computer program product comprising:
a non-transitory computer readable storage medium;
first program instructions to associate a non-contextual data object with a context object to define a synthetic context-based object, wherein the non-contextual data object ambiguously relates to multiple subject-matters, wherein data within the non-contextual data object has no meaning until said data is matched to a specific context object from a context object database, wherein the context object provides a context that identifies a specific subject-matter, from the multiple subject-matters, of the non-contextual data object, and wherein the context object that is associated with the non-contextual data object is selected from a plurality of context objects stored in a context object database;
second program instructions to associate the synthetic context-based object with at least one specific data store, wherein said at least one specific data store comprises data that is associated with data contained in the non-contextual data object and the context object, wherein said at least one specific data store is from a heterogeneous data structure, wherein the heterogeneous data

Assignees

• Adams Samuel S
• Friedlander Robert R
• Gerken Iii John K
• Kraemer James R
• IBM

Inventors

• Adams Samuel S
• Friedlander Robert R
• Gerken Iii John K
• Kraemer James R

Classifications

• G06F17/30038

  Physics · mapped topic

• G06F17/30395

  Physics · mapped topic

• G06F17/30864

  Physics · mapped topic

• G06F17/30091

  Physics · mapped topic

• G06F17/30707

  Physics · mapped topic