Method and system for personal cloud engine

• US 20120203733A1
• Filed: 02/09/2011
• Published: 08/09/2012
• Est. Priority Date: 02/09/2011
• Status: Abandoned Application

• Current Assignee: Amy H. Zhang
• Original Assignee: Amy H. Zhang
• Inventors: Zhang, Amy H.
• Application Number:
  US12/931,750
• Publication Number:
  US 20120203733A1
• Time in Patent Office: Days
• US Class Current: 707/600
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

Personal Cloud Engine (iCloud) described in the present invention collects information relevant to a user from various data sources including personal email accounts, social network accounts, online vendors, on-line services for store and share photos and videos and on-line bank accounts. Collected data are classified, indexed, tagged and stored in a persistent data storage device. Web interface such as HTTP is provides for access data by a client, which can be web browser running on a computing device or a client application running on a smart phone. By gathering all the data, iCloud maintains a secondary copy of all valuable personal data and effectively prevents data loss. iCloud can also utilize the data and extract intrinsic value from the data stored by data mining and analytic tools.

Claims

1. A method for aggregating, managing and sharing personal data, performed by a computing device, comprising:

collecting personal data from plurality of distributed data sources based on configuration of each data source, wherein the data sources including email servers, social network web sites, e-commerce web sites and local computing devices;

classifying, tagging and indexing the personal data and storing the personal data in a private data storage device;

responding data access requests from a client, wherein the client is internet browser or client program running on a computing device; and

generating profile data that conforms a specific data model by searching and analyzing the personal data stored in the data storage device.

2. The method of claim 1, wherein the personal data stored includes the content, metadata and tracking information, wherein the content includes documents, files or web pages, metadata includes title, property, summary and author, and tracking information includes history of user actions performed on the contents and metadata.

3. The method of claim 2, wherein indexing and tagging are based keywords extracted from the content, metadata and tracking information.

4. The method of claim 1, further comprising:

constructing an information package containing a subset of all personal data stored the data storage device, wherein the information package is shared by other parties based on access permission.

5. The method of claim 1, further comprising:

sending out notification when data collected meets the pre-defined criteria in the data source configuration.

6. The method of claim 1, further comprising:

generating profile data that conforms to a data model and submitting the profile data to a pre-defined online service provider or organization.

7. The method of claim 6, further comprising:

downloading and installing a third party software developed by on-line service provider.

8. The method of claim 7, wherein the service provider is e-commence vendor and the application retrieves commercial advisements based on user profile data.

9. A personal data management system comprising:

a processor;

a database; and

a computer-readable storage medium containing instructions, that when executed by the processor, cause the processor to perform;

searching and downloading personal data from internet, wherein the personal data includes emails stored in a plurality of email accounts, personal profiles, posts, photos and videos stored in a plurality of social network web sites, transaction history stored in a plurality of online vendors, and financial data stored in a plurality of financial institutions;

synchronizing files from personal computer devices, wherein computing devices are personal laptop, desktop, tablet and smart phones;

processing downloaded data by indexing and tagging and storing the data in the database;

10. The system of claim 9, wherein the instructions for searching is based on data source configurations including URL or server IP address and port, login credential and list of contents to be downloaded.

11. The system of claim 9, wherein the computer-readable storage medium also includes instructions for sending out notification if the download data satisfies the notification criteria.

12. The system of claim 11, wherein, the notification criteria includes products and prices the user is interested in for purchasing from on-line vendors.

13. The system of claim 9, wherein the computer-readable storage medium also includes instructions for system performance monitoring, software upgrading and new application software installation.

14. The system of claim 9, wherein the computer-readable storage medium also includes instructions for data mining and modeling over personal data in the database and generating user profile data, wherein the user profiles are sending to a plurality of receivers.

15. The system of claim 14, wherein the computer-readable storage medium also includes instructions for downloading and installing a third party application from an online service provider, wherein the online service provider is a e-commence vendor and the application retrieves commercial advisements from the vendor based on the profile data.

16. The system of claim 9, wherein the computer-readable storage medium also includes instructions for updating data sources by adding a new source, modifying or deleting an existing data source.

17. The system of claim 9, wherein the computer-readable storage medium also includes instructions for constructing an information package containing a subset of all personal data stored the database, wherein the information package is shared by other parties based on access permission.

18. The system of claim 9, wherein the computer-readable storage medium also includes instructions for triggering searching and synchronization based on a periodic scheduler or upon user request.