SYSTEMS AND METHODS FOR RANKING TERMS FOUND IN A DATA PRODUCT

• US 20070175674A1
• Filed: 04/10/2007
• Published: 08/02/2007
• Est. Priority Date: 01/19/2006
• Status: Abandoned Application

• Current Assignee: IntelliScience Corp.
• Original Assignee: IntelliScience Corp.
• Inventors: Middleton, Nicholas, Blakeslee, Harry, Donaldson, Bryan, Brinson, Robert, Bass, Robert
• Application Number:
  US11/733,478
• Publication Number:
  US 20070175674A1
• Time in Patent Office: Days
• US Class Current: 177/136
• CPC Class Codes: G06F 16/313 Selection or weighting of terms for indexing

Abstract

A method for determining the significance of a term in a plurality of data products. The data products are stored on a single computer, at one or more locations over a computer-based network, or on the world wide web. The method determines the type of the data product. The data product is assigned a weight value based on a list of predetermined variables. A processor calculates a weight value for each term inside the data product. The weight value equals the weight value assigned to the data product added to the weight value of the term calculated based on a list of predetermined variables. The list of terms and calculated weight values are stored for each term.

Claims

1. A method for determining the significance of a term in a plurality of data products stored at one or more locations over a computer-based network, the method comprising:

determining the type of the data product;

assigning a weight value to the data product based on a list of predetermined variables;

calculating, using a processor, a weight value for each term inside the data product, the weight value comprising the weight value assigned to the data product added to the weight value of the term calculated based on a list of predetermined variables;

storing a list of terms based on the calculated weight value for each term; and

querying the stored list of terms with a search query and displaying a set of significant terms to a user.

2. The method of claim 1, further comprising:

parsing the data product to extract the terms and storing the terms on a digital medium.

3. The method of claim 1, further comprising:

prompting a user to enter additional criteria to effect the calculation of the weight value.

4. The method of claim 3, wherein prompting a user includes deleting predetermined variables.

5. The method of claim 4, wherein additional criteria includes determining whether the predetermined variable increases or decreases the weight value of a term.

6. The method of claim 4, wherein additional criteria includes manually altering the weight value of a term.

7. A method for determining significant terms in a data product containing text, the method comprising:

assigning a weight value to the data product based on a list of predetermined variables;

calculating, using a processor, a weight value for each term inside the data product, the weight value comprising the weight value assigned to the data product added to the weight value of the term calculated based on a list of predetermined variables;

storing a list of terms based on the calculated weight value for each term; and

querying the stored list of terms with a search query and displaying a set of significant terms to a user.

8. The method of claim 7, further comprising:

adjusting the weight value of a data product based on its location.

9. The method of claim 8, further comprising:

using a processor to scan a data product for spelling and adjusting the weight value of the data product based on the results.

10. The method of claim 9, further comprising:

parsing the data product to extract the terms and storing the terms on a digital medium.

11. The method of claim 10, wherein the weight value of a term is incremented based on formatting characteristics.

12. The method of claim 11, wherein the weight value of a term is incremented based on frequency.

13. The method of claim 12, wherein the weight value of a term is incremented based on its surrounding terms.

14. The method of claim 12, further comprising:

prompting a user to enter additional criteria to effect the calculation of the weight value.

15. A system for searching a plurality of data products, the system comprising:

a database configured to store significant term information for the plurality of data products;

a display; and

a processor in data communication with the display and with the database, the processor comprising;

a first component configured to assign a weight value to the data product based on a list of predetermined variables;

a second component configured to calculate, using a processor, a weight value for each term inside the data product, the weight value comprising the weight value assigned to the data product added to the weight value of the term calculated based on a list of predetermined variables; and

a third component configured to store a list of terms based on the calculated weight value for each term;

a fourth component configured to query the stored list of terms with a search query and display a set of significant terms to a user;

wherein the components are located on at least one of a stand alone computer or a plurality of computers coupled to a network.

16. The system of claim 15, further comprising:

a fifth component to parse the data product to extract the terms and storing the terms on a digital medium.

17. The system of claim 15, further comprising:

a sixth component to prompt a user to enter additional criteria to effect the calculation of the weight value.

18. The system of claim 17, wherein the prompt of a user includes deleting predetermined variables.

19. The system of claim 18, wherein additional criteria includes determining whether the predetermined variable increases or decreases the weight value of a term.

20. The system of claim 19, wherein additional criteria includes manually altering the weight value of a term.