METHOD AND SYSTEM FOR RETRIEVING REGULATORY INFORMATION

• US 20190114358A1
• Filed: 10/12/2017
• Published: 04/18/2019
• Est. Priority Date: 10/12/2017
• Status: Abandoned Application

• Current Assignee: J J Keller & Associates Incorporated
• Original Assignee: J J Keller & Associates Incorporated
• Inventors: Crowley Yuronich, Frances A.
• Application Number:
  US15/782,106
• Publication Number:
  US 20190114358A1
• Time in Patent Office: Days
• 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 16/3334 Selection or weighting of terms from queries, including natural language queries
• CPC Class Codes: G10L 13/02 Methods for producing synthetic speech; Speech synthesisers
• CPC Class Codes: G10L 15/142 Hidden Markov Models [HMMs]
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 15/26 Speech to text systems G10L15/08 takes precedence

Abstract

System and method for retrieving regulatory information. In one example, the system, method, and apparatus include receiving a voice-based query associated with one or more federal and state regulations; determining the word context of the voice-based query based on historically used words within the voice-based query, and a position of a computing device, each of the historically used words within the voice-based query and the position of the computing device having different weight values; performing a keyword based on the word context of the voice-based query, determining a federal and state regulation associated with the voice-based query; retrieving the federal and state regulation and one or more rules associated with the federal and state regulation; generating a voice-based answer in response to the keyword search being successful; and updating the proprietary content management system based on the keyword.

Claims

1. An expert system for retrieving regulatory information, the expert system comprising:

a computing device including an electronic processor configured to

receive a voice-based query associated with one or more federal and state regulations;

determine a word context of the voice-based query based on historically used words within the voice-based query, and a position of the computing device, wherein each of the historically used words within the voice-based query and the position of the computing device having different weight values;

perform a keyword search on a plurality of databases based on the word context of the voice-based query, the plurality of databases including a proprietary content management system, a state regulatory content database and a federal regulatory content database;

determine a federal regulation and state regulation associated with the voice-based query;

retrieve the federal regulation, the state regulation and one or more rules associated with the federal regulation and the state regulation from the plurality of databases;

generate a voice-based answer in response to the keyword search being successful, wherein the voice-based answer is associated with retrieved federal and state regulation and the one or more rules related to the federal regulation and the state regulation;

generate a follow-up voice-based query to receive additional information from a user in response to the keyword search not being successful; and

update the proprietary content management system based on the keyword search.

2. The expert system of claim 1, wherein the electronic processor is further configured to perform the keyword search based on a hierarchical order.

3. The expert system of claim 1, wherein the computing device includes an item selected from the group consisting of a smart phone, a tablet, a laptop, and a wearable device.

4. The expert system of claim 1, wherein the electronic processor is further configured to receive data associated with the position of the computing device from a position information device.

5. The expert system of claim 1, wherein the electronic processor is further configured to compare a first result from performing the keyword search using the federal regulatory content database with a second result from performing the keyword search using the state regulatory content database.

6. The expert system of claim 1, wherein the weight value associated with the historically used words within the voice-based query is larger than the weight value associated with the position of the computing device.

7. A method for retrieving regulatory information, the method comprising:

receiving, with an electronic processor, a voice-based query associated with one or more federal and state regulations;

determining, with the electronic processor, a word context of the voice-based query based on historically used words within the voice-based query, and a position of a computing device, wherein each of the historically used words within the voice-based query and the position of the computing device having different weight values;

performing, with the electronic processor, a keyword search on a plurality of databases based on the word context of the voice-based query, the plurality of databases including a proprietary content management system, a state regulatory content database and a federal regulatory content database;

determining, with the electronic processor, a federal regulation and a state regulation associated with the voice-based query;

retrieving, with the electronic processor, the federal regulation, the state regulation and one or more rules associated with the federal regulation and the state regulation from the plurality of databases;

generating, with the electronic processor, a voice-based answer in response to the keyword search being successful, wherein the voice-based answer is associated with retrieved federal and state regulation and the one or more rules related to the federal regulation and the state regulation;

generating, with the electronic processor, a follow-up voice-based query to receive additional information from a user in response to the keyword search not being successful; and

updating, with the electronic processor, the proprietary content management system based on the keyword search.

8. The method of claim 7 wherein performing, with the electronic processor, the keyword search on the plurality of databases includes performing the keyword search based on a hierarchical order.

9. The method of claim 7, further comprising:

comparing a first result from performing the keyword search using the federal regulatory content database with a second result from performing the keyword search using the state regulatory content database.

10. The method of claim 7, wherein generating the voice-based answer in response to the keyword search being successful includes using a text-to-speech converter.

11. The method of claim 7, wherein determining the word context of the voice-based query based on the historically used words within the voice-based query and the position of the computing device includes having the weight value associated with the historically used words within the voice-based query being larger than the weight value associated with the position of the computing device.

12. A non-transitory computer-readable medium containing computer-executable instructions that when executed by one or more processors in a computing device cause the one or more processors to:

receive a voice-based query associated with one or more federal and state regulations;

determine a word context of the voice-based query based on historically used words within the voice-based query, and a position of the computing device, wherein each of the historically used words within the voice-based query and the position of the computing device having different weight values;

perform a keyword search on a plurality of databases based on the word context of the voice-based query;

determine a federal regulation and state regulation associated with the voice-based query;

retrieve the federal regulation, the state regulation and one or more rules associated with the federal regulation and the state regulation from the plurality of databases;

generate a voice-based answer in response to the keyword search being successful, wherein the voice-based answer is associated with retrieved federal and state regulation and the one or more rules related to the federal regulation and the state regulation;

generate a follow-up voice-based query to receive additional information from a user in response to the keyword search not being successful; and

update the proprietary content management system based on the keyword search.

13. The non-transitory computer-readable medium of claim 12, further comprising instructions that when executed by a processor cause the processor to perform the keyword search within a database selected from the group consisting of a proprietary regulatory content database, a state regulatory content database and a federal regulatory content database.

14. The non-transitory computer-readable medium of claim 12, further comprising instructions that when executed by a processor cause the processor to perform the keyword search based on a hierarchical order.

15. The non-transitory computer-readable medium of claim 13, further comprising instructions that when executed by a processor cause the processor to compare a first result from performing the keyword search using the federal regulatory content database with a second result from performing the keyword search using the state regulatory content database.

16. The non-transitory computer-readable medium of claim 12, further comprising instructions that when executed by a processor cause the processor to generate the voice-based answer in response to the keyword search being successful includes using a text-to-speech converter.

17. The non-transitory computer-readable medium of claim 12, further comprising instructions that when executed by a processor cause the processor to determine the word context of the voice-based query based on the historically used words within the voice-based query, and the position of the computing device, wherein the weight value associated with the historically used words within the voice-based query is larger than the weight value associated with the position of the computing device.