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Human credit resource networking method

  • US 7,613,708 B2
  • Filed: 08/29/2003
  • Issued: 11/03/2009
  • Est. Priority Date: 01/31/2003
  • Status: Active Grant
First Claim
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1. A Human Resource Networking Method for a system comprising a Relational Database and one or more credit constructs, said method comprising the steps of:

  • (a) storing People information of at least a person who is involved in one or more projects, Places information of where is each said project taken place, Project information of what nature of each project is classified, and Things information of how is each said project performed, wherein all of said People Information, Places Information, Projects Information, and Things Information are inputted through a communication network by one or more relative people of said person who are involved in said projects other than said person and an employer of said person who is involved in said project;

    (b) deriving People Information, Places Information, Projects Information, and Things Information of a person to form People Elements, Places Elements, Projects Elements, and Things Elements which are stored in a Relational Database;

    (c) forming one or more Credit Constructs from two or more of said People Elements, said Places Elements, said Projects Elements, and said Things Elements so as to reflect corresponding credentials of a data subject when enquired and requested by an enquirer through said communication; and

    (d) selectively retrieving said Credit Constructs through said communication network by an enquirer and generating Credit Bytes by combining said Credit Constructs upon a query through said communication network, said credentials of said data subject of said Credit Constructs being accurately and thoroughly evaluated by said enquirer through assessment of said Credit Constructs of said data subject, said Credit Bytes being outputted from said Relational Database and used in Conjunctive Project Sentences of Credit Construct, said enquirer being able to make corresponding decisions regarding said data subject based on said credential shown in said Credit Constructs and said Credit Constructs composed of at least one of said People Information, said Places Information, said Projects Information, and said Things Information selected by said enquirer, so as to discard unnecessary information from said Credit Constructs;

    wherein said Relational Database comprises a Relational Information and an Industry Credit Inductive Lineage Construct Matrix for data storage and retrieval, wherein said People Elements, said Places Elements, said Projects Elements, and said Things Elements are stored in said Industry Credit Inductive Lineage Construct Matrix and is selectively retrieved by said enquirer, wherein said Credit Constructs are stored in said Industry Credit Inductive Lineage Construct Matrix of said Relational Database;

    wherein said Credit Bytes are outputted from said Industry Credit Inductive Lineage Construct Matrix of said Relational Database and used in a Conjunctive Project Sentence of Credit Construct.

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