Tools and techniques for extracting knowledge from unstructured data retrieved from personal data sources

• US 10,140,322 B2
• Filed: 08/11/2016
• Issued: 11/27/2018
• Est. Priority Date: 11/02/2011
• Status: Active Grant

• Current Assignee: Salesforce.com, Inc.
• Original Assignee: Salesforce.com, Inc.
• Inventors: Donneau-Golencer, Thierry, Singh, Rajan, Yarlagadda, Madhu, Hulen, Corey, Nitz, Kenneth C., Mark, William Scott
• Primary Examiner(s): Cheema, Azam
• Application Number:
  US15/234,871
• Publication Number:
  US 20160350342A1
• Time in Patent Office: 838 Days
• CPC Class Codes: G06F 16/22 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/24522 Translation of natural language queries to structured queries
• CPC Class Codes: G06F 16/3329 Natural language query formulation or dialogue systems
• CPC Class Codes: G06F 16/337 Profile generation, learning or modification

Abstract

A system may include multiple personal data sources and a machine-implemented data extractor and correlator configured to retrieve personal data from at least one of the personal data sources. The data extractor and correlator may extract information from unstructured data within the retrieved personal data and correlate the extracted information with previously stored structured data to generate additional structured data. The system may also include a storage device configured to store the previously stored structured data and the additional structured data. A natural language query module may be configured to receive a natural language query from a user and provide a response to the natural language query based at least in part on one or both of the previously stored structured data and the additional structured data.

Claims

1. A non-transitory computer-readable medium comprising instructions for a computer program for updating user profiles, the instructions operable to:

store structured data in the user profiles;

extract one or more patterns from the stored structured data to create one or more pattern fingerprints;

retrieve unstructured personal data from personal data sources;

extract one or more patterns from the unstructured personal data using the one or more pattern fingerprints;

correlate the unstructured personal data with the stored structured data in the user profiles, using the one or more patterns from the unstructured personal data, to generate additional structured data;

update the user profiles with the additional structured data;

receive a query; and

provide a query response based at least in part on the structured data and the additional structured data in the user profiles,

wherein at least some of the user profiles are associated with different user roles for a same user.

2. The computer program of claim 1, wherein the personal data sources include email messages and calendar items.

3. The computer program of claim 1, wherein the personal data sources include customer relationship management (CRM) application objects.

4. The computer program of claim 1, further comprising instructions operable to:

retrieve data from different user applications; and

update the user profiles with at least some of the data retrieved from the different user applications.

5. The computer program of claim 4, wherein the user applications include a customer relationship management (CRM) application.

6. The computer program of claim 1, further comprising instructions operable to:

retrieve public data from public data sources; and

correlate the public data with the stored structured data in the user profiles to generate at least some of the additional structured data.