Automatically reorganize folder/file visualizations based on natural language-derived intent

Patent metadata

Field	Value
Publication number	US-10657098-B2
Application number	US-201615205647-A
Country	US
Kind code	B2
Filing date	Jul 8, 2016
Priority date	Jul 8, 2016
Publication date	May 19, 2020
Grant date	May 19, 2020

Abstract

A method, system and computer-usable medium are disclosed for computing file system management. A corpus of content is processed to extract metadata associated with folders and files referenced by a directory structure. Natural Language Processing (NLP) operations are then performed on the corpus to generate concept and entity data associated with each folder and file, followed by performing Natural Language (NL) classification operations to generate intent classification data, which in turn is processed to determine ranked, dominant intents for each folder and file. The corpus content, extracted metadata, concept and entity data, and ranked dominant intents are then processed to generate indexed content and term data. Application context data associated with an interaction is collected and processed to determine a user intent, which is then processed with the indexed content and term data to identify a corresponding folder and file, which in turn are provided to the user.

First claim

What is claimed is:

1. A computer-implemented method for computing file system management, comprising:
processing a corpus of content to extract metadata associated with individual folders and files referenced by a directory structure;
performing Natural Language Processing (NLP) operations on the corpus to generate concept and entity data associated with each folder and file, the NLP operations comprising performing domain clustering, the domain clustering comprising performing a statistical analysis of a density of concepts associated with a particular knowledge domain within the corpus;
performing Natural Language (NL) classification operations on each folder and file to generate intent classification data;
processing the intent classification data to determine ranked, dominant intents for each folder and file;
processing the content, the extracted metadata, the concept and entity data, and the ranked dominant intents to generate indexed content and term data;
detecting an interaction associated with a first user;
processing the interaction associated with the first user to determine a user intent, the user intent representing what the first user desires to accomplish through the interaction of a particular application, the user intent being determined by monitoring, analyzing current and historic interactions of the user with the particular software application at a particular time and location;
accessing the indexed content and term data based upon the user intent; and,
presenting a folder view and file icons in an order based upon the indexed content and term data.

2. The method of claim 1 , further comprising:
detecting an interaction associated with a first user;
collecting application context data associated with the interaction;
processing the application context data to determine the user intent;
processing the user intent and the indexed content and term data to identify a folder and file corresponding to the user intent; and
providing a reference to the identified folder and file to the first user.

3. The method of claim 1 , wherein the NLP operations further comprise at least one of the group of:
entity detection; and
identity resolution.

4. The method of claim 2 , wherein the application context data comprises information associated with at least one of the group of:
a software application executing on a computing device used by the first user;
a file type associated with a software application executing on a computing device used by the first user;
an online chat session conducted between the first user and a second user;
an email exchange between the first user and a second user;
a browser application executing on a computing device used by the first user to access web-based content;
a search query submitted by the first user; and
a response to a search query submitted by the first user.

5. The method of claim 2 , further comprising:
processing the application context data to modify a visual attribute associated with the reference to the folder and file;
using the modified visual attribute as the reference to the folder and file.

6. The method of claim 2 , further comprising:
processing the application context data and the user intent to generate a corresponding intent scoring value for each folder and file;
sorting the folders and files according to their respective intent scoring values; and
providing references to the folders and files to the first user in their sorted order.

7. A system comprising:
a processor;
a data bus coupled to the processor; and
a computer-usable medium embodying computer program code, the computer-usable medium being coupled to the data bus, the computer program code used for computing file system management and comprising instructions executable by the processor and configured for:
processing a corpus of content to extract metadata associated with individual folders and files referenced by a directory structure;
performing Natural Language Processing (NLP) operations on the corpus to generate concept and entity data associated with each folder and file, the NLP operations comprising performing domain clustering, the domain clustering comprising performing a statistical analysis of a density of concepts associated with a particular knowledge domain within the corpus;
performing Natural Language (NL) classification operations on each folder and file to generate intent classification data;
processing the intent classification data to determine ranked, dominant intents for each folder and file;
processing the content, the extracted metadata, the concept and entity data, and the ranked dominant intents to generate indexed content and term data;
detecting an interaction associated with a first user;
processing the interaction associated with the first user to determine a user intent, the user intent representing what the first user desires to accomplish through the interaction of a particular application, the user intent being determined by monitoring, analyzing current and historic interactions of the user with the particular software application at a articular time and location;
accessing the indexed content and term data based upon the user intent; and,
presenting a folder view and file icons in an order based upon the indexed content and term data.

8. The system of claim 7 , further comprising:
detecting an interaction associated with a first user;
collecting application context data associated with the interaction;
processing the application context data to determine the user intent;
processing the user intent and the indexed content and term data to identify a folder and file corresponding to the user intent; and
providing a reference to the identified folder and file to the first user.

9. The system of claim 7 , wherein the NLP operations further comprise at least one of the group of:
entity detection; and
identity resolution.

10. The system of claim 8 , wherein the application context data comprises information associated with at least one of the group of:
a software application executing on a computing device used by the first user;
a file type associated with a software application executing on a computing device used by the first user;
an online chat session conducted between the first user and a second user;
an email exchange between the first user and a second user;
a browser application executing on a computing device used by the first user to access web-based content;
a search query submitted by the first user; and
a response to a search query submitted by the first user.

11. The system of claim 8 , further comprising:
processing the application context data to modify a visual attribute associated with the reference to the folder and file;
using the modified visual attribute as the reference to the folder and file.

12. The system of claim 8 , further comprising:
processing the application context data and the user intent to generate a corresponding intent scoring value for each folder and file;
sorting the folders and files according to their respective intent scoring values; and
providing references to the folders and files to the first user in their sorted order.

13. A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for:
processing a corpus of content to extract metadata associated with individual folders and files referenced by a directory structure;
performing Natural Language Processing (NLP) operations on the corpus to generate concept and entity data associated with each folder and fil

Assignees

• IBM

Inventors

• Allen Corville O
• Freed Andrew R
• Vrouwenvelder Adrianus P

Classifications

• G06F16/168

  Details of user interfaces specifically adapted to file systems, e.g. browsing and visualisation, 2d or 3d GUIs (query results presentation G06F16/156) · CPC title

• G06F40/242

  Dictionaries · CPC title

• G06F16/16 Primary

  File or folder operations, e.g. details of user interfaces specifically adapted to file systems · CPC title

• G06F40/295

  Named entity recognition · CPC title

• G06F16/11

  File system administration, e.g. details of archiving or snapshots (error detection or correction of the data by redundancy in operations G06F11/14) · CPC title