Devices and methods for generating and managing a database

• US 6,463,430 B1
• Filed: 07/10/2000
• Issued: 10/08/2002
• Est. Priority Date: 07/10/2000
• Status: Expired due to Term

• Current Assignee: Kofax Incorporated
• Original Assignee: Mohomine, Inc. (Kofax Ltd.)
• Inventors: Brady, Sean, Harris, Chris, Samat, Sameer, Dammeier, Josh
• Primary Examiner(s): Shah, Sanjiv
• Application Number:
  US09/613,180
• Time in Patent Office: 820 Days
• Field of Search: 707/3, 707/1, 707/2, 707/4, 707/5, 707/6, 707/7, 707/10, 707/102, 707/100, 707/104, 705/1
• US Class Current: 1/1
• CPC Class Codes: G06F 16/353 into predefined classes
• CPC Class Codes: G06F 2213/0038 System on Chip
• CPC Class Codes: G06F 2216/01 Automatic library building
• CPC Class Codes: Y10S 707/99933 Query processing, i.e. searching
• CPC Class Codes: Y10S 707/99936 Pattern matching access
• CPC Class Codes: Y10S 707/99943 Generating database or data structure, e.g. via user interface

Abstract

An automated method of creating or updating a database of resumes and related documents, the method comprising,

a) entering at least one example document that is relevant to a subject taxonomy in a retrieval priority list, if there is a plurality of example documents stored in the retrieval priority list, ranking the example documents according to the relevancy of the example documents to the subject taxonomy;

b) retrieving a document from a network of documents, where the document is the most relevant document to the subject taxonomy stored in the retrieval priority list;

c) harvesting information from specified fields of the document;

d) classifying the information into one or more classes according to specified categories of the subject taxonomy;

e) storing the information into a database;

f) determining whether the information are links to other documents;

g) ranking the link'"'"'s according to relevancy to the subject taxonomy, and storing the links in the retrieval priority list according to the relevancy;

h) terminating the method, provided the method'"'"'s stop criteria have been met; and

i) repeating steps b) through h), provided the method'"'"'s stop criteria has not been met.

Claims

1. An automated method of creating or updating a database of resumes and related documents from a network of documents, said method comprising,

a) entering at least one example document that is relevant to a subject taxonomy in a retrieval priority list, if there is a plurality of example documents stored in said retrieval priority list, ranking said example documents according to the relevancy of said example documents to said subject taxonomy;

b) retrieving a document from a network of documents, where said document is the most relevant document to said subject taxonomy stored in said retrieval priority list;

c) harvesting information from specified fields of said document;

d) classifying said information into one or more classes according to specified categories of said subject taxonomy;

e) storing said information into a database;

f) determining whether said information are links to other documents;

g) ranking said link'"'"'s according to relevancy to said subject taxonomy, and storing said links in said retrieval priority list according to said relevancy;

h) terminating said method, provided said method'"'"'s stop criteria have been met; and

i) repeating steps b) through h), provided said method'"'"'s stop criteria has not been met.

2. The method of claim 1, wherein in step c) said specified fields is according to a Harvester Content Type Model.

3. The method of claim 1, wherein in step d) said specified categories is according to a Classifier Content Type Model.

4. The method of claim 1, wherein in step g) said link'"'"'s relevancy is determined according to said Classifier Content Type Model.

5. The method of claim 1, wherein in step g) said link'"'"'s relevancy is determined according to a Directed Graph Cluster Module.

6. The method of claim 1 further comprising:

a) receiving a topic;

b) applying the topic to the subject taxonomy of the database.

7. A computer system for creating or updating a database of resumes and related documents, said computer system comprising:

a central processing unit that can establish communication with a network of documents; and

a program memory that stores programming instructions executed by said central processing unit, wherein said computer system executing said programming instructions performs a process comprising,

a) entering at least one example document that is relevant to a subject taxonomy in a retrieval priority list, it there is a plurality of example documents stored in said retrieval priority list, ranking said example documents according to the relevancy of said example documents to said subject taxonomy;

b) retrieving a document from a network of documents, where said document is the most relevant document to said subject taxonomy stored in said retrieval priority list;

c) harvesting information from specified fields of said document;

d) classifying said information into one or more classes according to specified categories of said subject taxonomy;

e) storing said information into a database;

f) determining whether said information are links to other documents;

g) ranking said link'"'"'s according to relevancy to said subject taxonomy, and storing said links in said retrieval priority list according to said relevancy;

h) terminating said method, provided said method'"'"'s stop criteria have been met; and

i) repeating steps d) through j), provided said method'"'"'s stop criteria has not been met.

8. A computer-readable medium having computer-executable instructions for performing a method comprising:

a) entering at least one example document that is relevant to a subject taxonomy in a retrieval priority list, it there is a plurality of example documents stored in said retrieval priority list, ranking said example documents according to the relevancy of said example documents to said subject taxonomy;

b) retrieving a document from a network of documents, where said document is the most relevant document to said subject taxonomy stored in said retrieval priority list;

c) harvesting information from specified fields of said document;

d) classifying said information into one or more classes according to specified categories of said subject taxonomy;

e) storing said information into a database;

f) determining whether said information are links to other documents;

g) ranking said link'"'"'s according to relevancy to said subject taxonomy, and storing said links in said retrieval priority list according to said relevancy;

h) terminating said method, provided said method'"'"'s stop criteria have been met; and

i) repeating steps b) through h), provided said method'"'"'s stop criteria has not been met.

9. An automated method of creating or updating a database of resumes and related documents, said method comprising:

a) training a spider to retrieve relevant documents from example documents within a retrieval priority list and ranking said example documents according to the relevancy of said example documents to subject taxonomy from a network of documents;

b) retrieving said relevant documents from said network of documents;

c) extracting information from said retrieved relevant documents;

d) classifying said extracted information;

e) storing said extracted information into a database;

f) determining whether said information are links to other documents;

g) ranking said links according to relevancy to said taxonomy, and storing said links in said retrieval priority list according to said relevancy;

h) terminating said method, provided that said method'"'"'s stop criteria have been met; and

i) repeating steps b) through h), provided said method'"'"'s stop criteria has not been met.

10. A database of resumes and related documents created from a method comprising:

a) training a spider to retrieve relevant documents from example documents within a retrieval priority list and ranking said example documents according to the relevancy of said example documents to subject taxonomy from a network of documents;

b) retrieving said relevant documents from said network of documents;

c) extracting information from said retrieved relevant documents;

d) classifying said extracted information;

e) storing said extracted information into a database;

f) determining whether said information are links to other documents;

g) ranking said links according to relevancy to said taxonomy, and storing said links in said retrieval priority list according to said relevancy;

h) terminating said method, provided that said method'"'"'s stop criteria have been met; and

i) repeating steps b) through h), provided said method'"'"'s stop criteria has not been met.