ASSOCIATE MEMORY LEARNING AGENT TECHNOLOGY FOR TRAVEL OPTIMIZATION AND MONITORING

• US 20100268673A1
• Filed: 04/16/2009
• Published: 10/21/2010
• Est. Priority Date: 04/16/2009
• Status: Abandoned Application

• Current Assignee: The Boeing Co.
• Original Assignee: The Boeing Co.
• Inventors: Quadracci, Leonard J.
• Application Number:
  US12/424,638
• Publication Number:
  US 20100268673A1
• Time in Patent Office: Days
• US Class Current: 706/12
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

A method for assisting with evaluating travel related information. The method may involve defining a plurality of entity types for categorizing different types of travel related information. A data mining tool may be used to search at least one database for stored travel related information, and to denote specific items of the travel related information as entities. The data mining tool may be used to populate an associative learning memory with the entities and to store the entities in the associative learning memory. An entity analytics engine may be used to assist a user in searching the associative learning memory for specific ones of the entities that are at least one of identical or similar to specific travel related information provided by the user. Retrieved ones of the entities may be displayed for evaluation by the user.

Claims

1. A method for assisting with evaluating travel related information, comprising:

defining a plurality of entity types for categorizing different types of travel related information;

using a data mining tool to search at least one database for stored travel related information, and to denote specific items of the travel related information as entities;

using the data mining tool to populate an associative learning memory with the entities and storing the entities in the associative learning memory;

using an entity analytics engine to assist a user in searching the associative learning memory for specific ones of the entities that are at least one of identical or similar to specific travel related information provided by the user; and

displaying retrieved ones of the entities for evaluation by the user.

2. The method of claim 1, wherein at least one of the entity types comprises one of a travel expense report (TER) and a travel plan (TP).

3. The method of claim 1, wherein at least one of the entity types comprises a TER evaluation report.

4. The method of claim 2, further comprising using an input device to receive a free text input query from an individual to at least one of obtain entity information from, and to input the travel related information to, the associative learning memory.

5. The method of claim 4, wherein said using an input device to receive a free text input query comprises using an input device to enable the user to input a TER entity number or a travel plan number.

6. The method of claim 5, further comprising using the entity analytics query software module to receive TER entity number or travel plan number from the input device and to control the entity analytics engine in searching for relevant entities.

7. The method of claim 1, further comprising using an historical database to store travel related information generated before a predetermined date.

8. The method of claim 1, further comprising using a display system of a computer system to display the entities obtained pursuant to a search query.

9. The method of claim 1, further comprising using the entity analytics engine to update the associative memory with at least one of:

new entities associated with new travel related information provided by an individual during the planning of a trip;

new entities associated with new travel related information provided by an individual subsequent to completing a trip; and

a new entity associated with a new TER evaluation report generated by an individual after reviewing a specific TER.

10. A method for managing and analyzing travel information, comprising:

using an associative learning memory to store a plurality of entities, each one of the entities relating to a specific piece of travel related information;

using an input device that allows a user to input a travel plan or travel expense report (TER) relating to specific travel related information;

using an entity analytics engine responsive to the input device to search the associative learning memory for specific ones of the entities that are related to the travel plan or the TER input by the user; and

displaying the entities retrieved by the entity analytics engine on a display for consideration by the user.

11. The method of claim 10, wherein:

the travel plan (TP) pertains to a specific trip taken by a specific individual;

the travel expense report (TER) pertains to a specific trip taken by a specific individual; and

a TER evaluation report is generated after evaluation of a given TER.

12. The method of claim 10, further comprising using an entity analytics query software module to interface the input device to the entity analytics engine to assist in analyzing the travel plan or TER and performing searching of the associative learning memory for relevant entities relating to the travel plan or TER.

13. The method of claim 10, further comprising updating the associative learning memory with new entities relating to new travel related information input by the user.

14. The method of claim 13, further comprising using the input device to receive a travel expense report (TER) evaluation report from an individual and using the entity analytics engine to update the associative memory with a new entity relating to the TER evaluation report.

15. The method of claim 10, wherein said inputting a travel plan or TER by the user comprises inputting a query that includes at identifies a TER or travel plan by a number.

16. The method of claim 10, further comprising using a data mining tool to initially populate the associative learning memory with a plurality of entities using travel related information obtained from a database.

17. The method of claim 16, further comprising using the entity analytics engine to compile a plurality of entities that relate to an upcoming planned trip by the user, and to generate an optimized itinerary for the user.

18. A system for assisting with evaluating travel related information, comprising:

a data mining tool to search at least one database for stored travel related information, and to denote specific items of the travel related information as entities;

an associative learning memory in communication with the data mining tool and adapted to store the entities created by the data mining tool; and

an entity analytics engine responsive to travel entities provided by a user, where the entities each have a plurality of entity attributes;

the entity analytics engine further being adapted to search the associative learning memory for specific ones of the entities that are at least one of identical or similar to at least one of the entity attributes, and to collect the identical or similar entities stored in the associative learning memory to generate a report that assists the user in one of planning a trip or evaluating a completed trip.

19. The system of claim 18, further comprising an input device that enables a user to input a travel plan number or a TER number to the entity analytics engine, wherein the travel plan number OR TER number uniquely identifies a specific travel plan or TER in the associative memory.

20. The system of claim 18, further comprising using the entity analytics engine to receive new travel related information pertaining to a completed trip and to update the associative memory with new entities relating to said completed trip.

21. The system of claim 18, wherein the entity analytics engine is adapted to store at least one of travel expense reports (TERs) and travel expense report evaluations as a new entity in the associative memory for future retrieval.