Information infrastructure management data processing tools with tags, configurable filters and output functions

• US 10,250,640 B2
• Filed: 01/15/2015
• Issued: 04/02/2019
• Est. Priority Date: 01/05/2007
• Status: Active Grant

• Current Assignee: DigitalDoors, Inc.
• Original Assignee: DigitalDoors, Inc.
• Inventors: Redlich, Ron M., Nemzow, Martin A.
• Primary Examiner(s): Rahman, S M A
• Application Number:
  US14/597,364
• Publication Number:
  US 20150149491A1
• Time in Patent Office: 1,538 Days
• Field of Search: 709223
• CPC Class Codes: G06F 16/23 Updating
• CPC Class Codes: G06F 16/2455 Query execution
• CPC Class Codes: G06F 16/2465 Query processing support for facilitating data mining operations in structured databases
• CPC Class Codes: G06F 16/26 Visual data mining; Browsing structured data
• CPC Class Codes: G06F 16/282 Hierarchical databases, e.g. IMS, LDAP data stores or Lotus Notes
• CPC Class Codes: G06F 16/93 Document management systems
• CPC Class Codes: G06F 21/6218 to a system of files or objects, e.g. local or distributed file system or database
• CPC Class Codes: G06F 21/6254 by anonymising data, e.g. decorrelating personal data from the owner's identification
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: H04L 63/0227 Filtering policies mail message filtering H04L51/212
• CPC Class Codes: H04L 63/105 Multiple levels of security
• CPC Class Codes: H04L 63/20 for managing network security; network security policies in general filtering policies H04L63/0227
• CPC Class Codes: H04L 67/1097 for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]

Abstract

Method of organizing and storing data in an information infrastructure by either processing data throughput or a method for processing data throughput or data mining in a distributed computing system works using a tagging routine. The system and method operates on sensitive content (e.g., trade secrets) or select content (e.g., critical content) and applies configurable filters (expanding, contracting, hierarchical/orthogonal classifier filters) to separate and store sensitive/select data in designated, distributed data stores or to supplement data collections. Sensitive/select data stores may have security clearance requirements. Data output is controlled to provide one or more of storage in predetermined data stores, data mining, coping, transfer to other storage sites, supplemental data searches, and presentation subject to data inquiry.

Claims

1. A method of organizing and storing data in an information infrastructure and for processing data throughput in a distributed computing system with respective ones of a plurality of filters, comprising:

identifying sensitive content and select content in said data throughput with one or more of said plurality of filters, said sensitive content represented by one or more sensitive words, characters, images, data elements or data objects therein grouped into a plurality of sensitivity levels, said select content represented by one or more predetermined words, characters, images, data elements or data objects;

extracting and tagging said sensitive content and said select content from said data throughput including tagging said sensitive content based upon a respective sensitivity level of said plurality of sensitivity levels and generating tagged sensitive content and tagged select content;

data processing said tagged sensitive content and said tagged select content with;

(a) a data storage process storing, in one or more data stores of a plurality of predetermined data stores;

(b) a data mining process;

(c) a copy process;

(d) a transfer process to other predetermined storage stores;

(e) a supplemental data search process; and

, (f) a presentation process responsive to a data inquiry;

wherein said data throughput is a source document;

with said tagged sensitive content and said tagged select content, generating at least one tear line for said source document or a contextual range within said source document; and

thereafter data processing said tagged sensitive content and said tagged select content and said source document.

2. The method of organizing data in an information infrastructure and for processing data throughput as claimed in claim 1 wherein generating said tear lines employs a rule-based filters including content and contextual filters.

3. The method of organizing data in an information infrastructure and for processing data throughput as claimed in claim 2 including:

an operator rule selection of at least one tear line parameter from a group of tear line parameters including;

(i) a contextual range about said tagged sensitive content and said tagged select content in said source document;

(ii) contextual contiguous content stream range

about said tagged sensitive content and said tagged select content in said source document;

(iii) a categorical identification of said tagged sensitive content and said tagged select content;

(iv) a taxonomic classification of said tagged sensitive content and said tagged select content;

(v) altering respective tags in said tagged sensitive content and said tagged select content based upon said content and contextual filters; and

, (vi) verifying said respective tag for said sensitive content and said select content with an inference engine.

4. The method of organizing data in an information infrastructure and for processing data throughput as claimed in claim 1 wherein in the event of an overlapping tag for respective sensitive content and respective select content, one of said overlapping tags being hierarchically incremented.

5. The method of organizing data in an information infrastructure and for processing data throughput as claimed in claim 1 wherein said data processing of said tagged sensitive content and said tagged select content responds to either (i) recognition of financial consideration or (ii) data barter or (iii) data exchange.

6. The method of organizing data in an information infrastructure and for processing data throughput as claimed in claim 1 wherein said extracting and tagging said sensitive content and said select content is based upon one or more data tags relative to:

(i) financial data, (ii) data unique to a service level, (iii) health data, (iv) consumer data, (v) customer data, (vi) competitor data, (vii) personnel data, (viii) intellectual property data; and

, (ix) public company reporting data.

7. The method of organizing data in an information infrastructure and for processing data throughput as claimed in claim 1 wherein said tagged sensitive content and said tagged select content is used in said supplemental data search process and respective tags in said tagged sensitive content and said tagged select content are used as search terms.

8. The method of organizing data in an information infrastructure and for processing data throughput as claimed in claim 1 wherein said tagged sensitive content and said tagged select content is used to maintain anonymity of said data stores.

9. A method of organizing data in an information infrastructure and for processing data throughput in a distributed computing system with respective ones of a plurality of filters, comprising:

identifying sensitive content and select content in said data throughput with one or more of said plurality of filters, said sensitive content represented by one or more sensitive words, characters, images, data elements or data objects therein grouped into a plurality of sensitivity levels, said select content represented by one or more predetermined words, characters, images, data elements or data objects;

extracting said sensitive content and said select content from said data throughput;

classifying the extracted sensitive content and the extracted select content from said data throughput with a taxonomic category filter and generating respective classification tags therefor;

associating respective classification tags to the classified extracted sensitive content and the extracted select content including generating classification tags for the classified extracted sensitive content based upon a respective sensitivity level of said classified extracted sensitive content; and

using said respective classification tags in a structured data format;

mapping said extracted sensitive content and said extracted select content with said associated respective classification tags.

10. The method of organizing data in an information infrastructure and for processing data throughput as claimed in claim 9 wherein:

the associated respective classification tags are used as labels in said structured data format.

11. The method of organizing data in an information infrastructure and for processing data throughput as claimed in claim 9 including:

using said associated respective classification tags in said data throughput as placeholders therein.

12. The method of organizing data in an information infrastructure and for processing data throughput as claimed in claim 9 wherein the associated respective classification tags are used by:

data processing said extracted sensitive content and said extracted select content via said classification tags with;

(a) a data storage process storing, in one or more data stores of a plurality of predetermined data stores;

(b) a data mining process;

(c) a copy process;

(d) a transfer process to other predetermined storage stores;

(e) a supplemental data search process; and

, (f) a presentation process to a data inquiry.

13. The method of organizing data in an information infrastructure and for processing data throughput as claimed in claim 9 wherein

said mapping of said extracted sensitive content and said extracted select content in said data throughput includes employing categorical labels from said taxonomic category filter along one axis of said map and representations of said extracted sensitive content and said extracted select content on another axis of said map.