US6463430B1
Expired / Lapsed
US
⏱️ 0.0 years remaining
Devices and methods for generating and managing a database
Assignee: Tungsten Automation Corp
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Filing: 2000-07-10
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Granted: 2002-10-08
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Expires: 2020-07-10
Abstract
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.
Inventors
- 👤 Sean Brady
- 👤 Chris Harris
- 👤 Josh Dammeier
- 👤 Sameer Samat
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-10-29 22:58
CPC Classifications
G; G06; G06F; G06F16/00; G06F16/30; G06F16/35; G06F16/353; G06F2213/00; G06F2213/0038; G06F2216/00; G06F2216/01; Y; Y10; Y10S; Y10S707/00; Y10S707/99931; Y10S707/99933; Y10S707/99936; Y10S707/99941; Y10S707/99943
Claims Analysis
Total Claims: 15
Claim 1
Independent Claim
193 words
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.
Claim 2
Dependent Claim
193 words
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.
Claim 3
Dependent Claim
21 words
The method of claim 1 , wherein in step c) said specified fields is according to a Harvester Content Type Model.
Claim 4
Dependent Claim
21 words
The method of claim 1 , wherein in step d) said specified categories is according to a Classifier Content Type Model.
Claim 5
Dependent Claim
22 words
The method of claim 1 , wherein in step g) said link's relevancy is determined according to said Classifier Content Type Model.
Claim 6
Dependent Claim
22 words
The method of claim 1 , wherein in step g) said link's relevancy is determined according to a Directed Graph Cluster Module.
Claim 7
Dependent Claim
22 words
The method of claim 1 further comprising: a) receiving a topic; b) applying the topic to the subject taxonomy of the database.
Claim 8
Dependent Claim
228 words
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.
Claim 9
Dependent Claim
228 words
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.
Claim 10
Dependent Claim
182 words
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.
Claim 11
Dependent Claim
182 words
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.
Claim 12
Dependent Claim
147 words
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.
Claim 13
Dependent Claim
147 words
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.
Claim 14
Dependent Claim
142 words
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.
Claim 15
Dependent Claim
142 words
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.
References Cited (Backward Citations)
USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
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| 3.5 Years (Year 4) | 2005-10-07 | 2006-04-08 | 2006-10-08 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2009-10-07 | 2010-04-08 | 2010-10-08 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2013-10-07 | 2014-04-08 | 2014-10-08 | $7700.00 | Window Closed / Lapsed |