WO2002005170A1 - Method for organizing, handling and displaying information with a computer - Google Patents

Method for organizing, handling and displaying information with a computer Download PDF

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Publication number
WO2002005170A1
WO2002005170A1 PCT/NO2001/000285 NO0100285W WO0205170A1 WO 2002005170 A1 WO2002005170 A1 WO 2002005170A1 NO 0100285 W NO0100285 W NO 0100285W WO 0205170 A1 WO0205170 A1 WO 0205170A1
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WO
WIPO (PCT)
Prior art keywords
information
network
computer
competence
relationship
Prior art date
Application number
PCT/NO2001/000285
Other languages
French (fr)
Inventor
Kristian MJÖEN
Original Assignee
Dossier Solutions As
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Dossier Solutions As filed Critical Dossier Solutions As
Priority to AU2001282694A priority Critical patent/AU2001282694A1/en
Publication of WO2002005170A1 publication Critical patent/WO2002005170A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management

Definitions

  • the invention relates to a method for organizing, handling and displaying information with a computer, as stated in the introduction of claim 1, such that it is enabled for decision- making.
  • the main purpose of the invention is to provide a method, where a user not only can choose an arbitrary viewpoint of different pieces of information existing in a network, as described in the US patent publication 6.037.944, but also can choose a special focus where special relations are visualized.
  • Fig. 1 displays a visual representation, as performed by a computer, of a part of a quantity of information comprising several pieces of information which initially are arranged in a tree structure, where the information regards competence of a person, for example a person applying for employment or a staff member in a company or department
  • Fig. 2 shows a corresponding representation of another part of this quantity of information, where the computer displays the relationship between the pieces of information in a way the user wants them to be displayed.
  • the traditional way of describing the competence of a person is by a tree structure, as known from a usual CV (Curriculum Vitae).
  • a CV is arranged in different groups of competence, for example as education, work experience, non-work experience etc. Under each group of competence, there are definite experiences giving one type of competence.
  • An employer who wishes to employ a new staff member, wants to get information about the competence of the different applicants.
  • popular employers today receive up to several thousands CV's from applicants all over the world. The employer has a large job going through all the CV's, to identify relevant competence of the individual applicants and to make a decision upon which persons are to be invited to an interview.
  • the invention prescribes an algorithm to organize competence in a network in the terms of the user and not in a tree structure.
  • the network is built up using a method that makes the competence structured and represented associatively, as prioritized by the user.
  • a particular network of competence can be provided by accomplishing the following steps:
  • main competence elements typically 3 - 5
  • main competence To define a number of main competence elements (typically 3 - 5) as "main competence”. Then, these pieces of information will form a centre in the competence network the computer is to display.
  • New competence elements are defined and are related to existing elements in the competence network according to one or more of the following methods: a. The user defines a competence element by choosing among one of the pieces of information chosen in the database (the CV structure). b. The user defines a competence element which does not already exist. At the same time, the user has to define the contents of the competence element. c. The computer automatically defines new competence elements based on an algorithm for selection and assigning priorities to the pieces of information filled in the database (the CV structure).
  • a competence element already defined can be related to several other competence elements.
  • the competence network is visualized by:
  • Fig. 1 there is shown an example of a display of the competence of a job applicant, starting to display pieces of information entered into the computer in the shape of a CV with defined posts related to a standardized tree structure.
  • the display has a chosen competence called main competence.
  • the person using the computer and this program can define the main competence freely, for example by pointing out one or more headwords from the CV-system. In this case it is decided to define the main competence as three headwords: "industrial mathematics", "management” and "industrial economics”. Consequently, these are defined themes in the CV-system.
  • the computer can be programmed to give possible selection of a set of "main elements" in the competence. Therefore, this will together form the "main competence" the employer advertises for in a particular applicant.
  • a sub-network can be created displaying the structure and/or an additional sub-networks for one of the elements in the main competence, which is included as a substantial element in the decision-making.
  • Fig. 2 shows how this will be presented if one focuses on the competence element "industrial economy". Here, one could easily display and be presented with information about all aspects of the applicant relevant to the element "industrial economy” .
  • the invention is particularly described above in relation to representation (display) of competence information related to employing staff members. But it can also be used to map un-quantified characteristics of persons under other circumstances, for example related to planning of post-graduate education, relocations etc. Further, it can be used to visualize characteristics of complex structure of information, such as courses, magazines, books and the like.
  • the assumption is that the individual offer of information comprises at least some pieces of information in a predetermined tree structure.
  • the computer is arranged to automatically track down new pieces of information and place these into a network by combining data from three sources of information.
  • the network under structure generally, and information about active nodes in particular
  • a person has (1) defined “English” as a node in his competence network and before (2), there are registered three occurrences of "English” in his competence files (extended CV): -General English under “Education/College” -Technical English for chemists under "Education/University /Subjects” -Project work in English under "Work Experience/Hydro/India”

Abstract

Method for computer processing of a quantity of information which can comprise a large number of parts of information, where each part of information comprises pieces of information, where there is defined a connection between at least a plurality of these parts of information. The computer can display the information graphically with a basis in an initial part and a network relationship with one or more further parts of information, and the computer by choosing another part of information as an initial part, represents its relationship to the remaining parts of information, in a case where such relationships exists. By a first selection of a central unit of information or an assembly of more units of information in the quantity of information (main information) a display is made of a network for this unit of information or the composition, as it went through the quantity of information, to map the network connections between the main information and at least a considerable number of other units of information in the quantity of information. By a second selection of an element in this network is made a display of the network for this element, with the relationship between this network and the main information as central in the representation, as the quantity of information is restructured, such that one or more other units of information, indifferent from the first, are assigned as a central unit of information, with the relationship to the other pieces of information as a part of the representation.

Description

Method for organizing, handling and displaying information with a computer
The invention relates to a method for organizing, handling and displaying information with a computer, as stated in the introduction of claim 1, such that it is enabled for decision- making.
Background
The traditional way of sorting and saving information is hierarchical, that is as a tree structure, for example as known from the decimal classification of a library. This structure has also made a basis for databases. With this starting point, algorithms have been developed able to combine data from a database in an arbitrary, but still systematic way, to collect parts of information from different branches and levels in such a tree system in a database to new groups with corresponding display. From the US patent publication 6.037.944 (Hugh, 1996) it is known to, e.g. -define a network comprising a plurality of "thoughts", having an "initial thought" and a network relationship with one or more further "thoughts",
-display a first representation of this network with basis in the first "thought", -choose a new "thought" and then represent its relationship to the rest of the "thoughts", in a case where such a relationship exists. Such a method can provide new ways to present an arbitrarily given connection between pieces of information existing in a given amount of information, having the limitations being in the formation of the network, that is the existence of relationships and connections between the individual pieces of mformation. If such relationships or connections are lacking, the method of this patent publication will be defective. Nor will it clarify priorities and emphasis without more ado.
In a world having rising access to information, it will not be sufficient to make all types of information easily available. So far, Internet technology has opened doors to a large and increasing quantity of information. The problem is that this quantity of information can not be organized in a way suitable for decision-making. Even if the method in the US patent publication 6.037.944 offers good possibilities for display of information structures in different ways, this method will not be suitable in making the information well organized for decision-making. Object of the invention
The main purpose of the invention is to provide a method, where a user not only can choose an arbitrary viewpoint of different pieces of information existing in a network, as described in the US patent publication 6.037.944, but also can choose a special focus where special relations are visualized.
The invention
The invention is stated in claim 1, whereas claims 2 - 4 point out particularly preferable features of the basic idea. Further details of the invention will be understood from the following description of an example according to the invention.
Example
In the following, the invention is described in connection with an embodiment illustrated in the drawings, where Fig. 1 displays a visual representation, as performed by a computer, of a part of a quantity of information comprising several pieces of information which initially are arranged in a tree structure, where the information regards competence of a person, for example a person applying for employment or a staff member in a company or department, while Fig. 2 shows a corresponding representation of another part of this quantity of information, where the computer displays the relationship between the pieces of information in a way the user wants them to be displayed.
The traditional way of describing the competence of a person, is by a tree structure, as known from a usual CV (Curriculum Vitae). A CV is arranged in different groups of competence, for example as education, work experience, non-work experience etc. Under each group of competence, there are definite experiences giving one type of competence.
The usage can be described as follows:
1. An employer, who wishes to employ a new staff member, wants to get information about the competence of the different applicants. 2. In some cases, popular employers today receive up to several thousands CV's from applicants all over the world. The employer has a large job going through all the CV's, to identify relevant competence of the individual applicants and to make a decision upon which persons are to be invited to an interview. The invention prescribes an algorithm to organize competence in a network in the terms of the user and not in a tree structure. The network is built up using a method that makes the competence structured and represented associatively, as prioritized by the user.
Having information about an applicant filled in the database with basis in a defined tree structure, a particular network of competence can be provided by accomplishing the following steps:
1. To define a number of main competence elements (typically 3 - 5) as "main competence". Then, these pieces of information will form a centre in the competence network the computer is to display. 2. New competence elements are defined and are related to existing elements in the competence network according to one or more of the following methods: a. The user defines a competence element by choosing among one of the pieces of information chosen in the database (the CV structure). b. The user defines a competence element which does not already exist. At the same time, the user has to define the contents of the competence element. c. The computer automatically defines new competence elements based on an algorithm for selection and assigning priorities to the pieces of information filled in the database (the CV structure).
3. A competence element already defined can be related to several other competence elements.
The competence network is visualized by:
1. Initially, displaying those competence elements declared to be main competence.
2. Letting the user choose one of the elements defined as main competence (by "clicking" on it), and this moves into the centre of the visual structure. Then, those competence elements related to the chosen competence element appear.
3. Letting the user choose one of the competence elements now visible, and this then moving into the centre at the same time as the related competence elements appear.
In Fig. 1 there is shown an example of a display of the competence of a job applicant, starting to display pieces of information entered into the computer in the shape of a CV with defined posts related to a standardized tree structure. Initially, the display has a chosen competence called main competence. The person using the computer and this program can define the main competence freely, for example by pointing out one or more headwords from the CV-system. In this case it is decided to define the main competence as three headwords: "industrial mathematics", "management" and "industrial economics". Consequently, these are defined themes in the CV-system. Then the computer can be programmed to give possible selection of a set of "main elements" in the competence. Therefore, this will together form the "main competence" the employer advertises for in a particular applicant.
For every post in this network, for the chosen main competence, a sub-network can be created displaying the structure and/or an additional sub-networks for one of the elements in the main competence, which is included as a substantial element in the decision-making. Fig. 2, shows how this will be presented if one focuses on the competence element "industrial economy". Here, one could easily display and be presented with information about all aspects of the applicant relevant to the element "industrial economy" . Because the user has the ability to choose elements from the tree structure, to define new nodes that did not necessarily exist before, and that the computer automatically adds elements based on the CV of the person, creating the network, a combination of user control and computer-generated network alternatives is achieved, this creates faster and better overviews in a situation with many options, and therefore faster and safer decision-making.
The invention is particularly described above in relation to representation (display) of competence information related to employing staff members. But it can also be used to map un-quantified characteristics of persons under other circumstances, for example related to planning of post-graduate education, relocations etc. Further, it can be used to visualize characteristics of complex structure of information, such as courses, magazines, books and the like. The assumption is that the individual offer of information comprises at least some pieces of information in a predetermined tree structure.
The computer is arranged to automatically track down new pieces of information and place these into a network by combining data from three sources of information.
1. the network under structure generally, and information about active nodes in particular
2. the hierarchical structured and categorized amount of information creating the network (for example the CV) 3. a standard classification of usual occurrence (toxonomy) (for example a structured list of actual terms) Example
A person has (1) defined "English" as a node in his competence network and before (2), there are registered three occurrences of "English" in his competence files (extended CV): -General English under "Education/College" -Technical English for chemists under "Education/University /Subjects" -Project work in English under "Work Experience/Hydro/India"
Further, we have (3) that "English" is an occurrence in the computers classification of usual occurrences.
From this:
1. if the nodes do not exist, new nodes are established with a basis in the node "English" for each of the three occurrences of English in the competence files (the CV)
2. if a node exists in the network, no new node is established, but the node already filed in the network is connected to it.

Claims

Claims:
1. Method for computer processing of a quantity of information which can comprise a large number of parts of information, where each part of information may comprise further pieces of information, where there is defined a connection between at least a plurality of these parts of information, and where the computer can display the information graphically with a basis in an initial part and a network relationship with one or more further parts of information, and that the computer by choosing another part of information as an initial part, represents its relationship to the remaining parts of information, in a case where such relationships exist, characterized in - a first selection of a central unit of information or an assembly of more units of information in the quantity of information (main information) there is made a display of a network for this unit of information or the composition, as it went through the quantity of information, to map the network connections between the main information and at least a considerable number of other units of information in the quantity of information, and by - a second selection of an element in this network is made a display of the network for this element, with the relationship between this network and the main information as central in the representation, as the quantity of information is restructured, such that one or more other units of information, indifferent from the first, are assigned as a central unit of information, with the relationship to the other pieces of information as a part of the representation.
2. Method according to claim 1, characterized in that there are made one or more further selections of elements in the network represented for the chosen main information.
3. Method according to claim 1 and 2, characterized in that the computer is arranged to search in at least parts of the actual quantity of information, to track down elements in the content, which are not defined in the network, and that the computer automatically adds elements with a basis in the quantity of information, which creates the network.
4. Method according to claim 3, characterized in that the quantity of information is a CV of a person, a course description or another line-up of characteristics or qualities of a person or information product.
PCT/NO2001/000285 2000-07-12 2001-07-05 Method for organizing, handling and displaying information with a computer WO2002005170A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
AU2001282694A AU2001282694A1 (en) 2000-07-12 2001-07-05 Method for organizing, handling and displaying information with a computer

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
NO20003576A NO314425B1 (en) 2000-07-12 2000-07-12 Procedure for organizing, processing, and displaying information using a computer
NO20003576 2000-07-12

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7071594B1 (en) 2002-11-04 2006-07-04 Microvision, Inc. MEMS scanner with dual magnetic and capacitive drive

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6037944A (en) * 1996-11-07 2000-03-14 Natrificial Llc Method and apparatus for displaying a thought network from a thought's perspective

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6037944A (en) * 1996-11-07 2000-03-14 Natrificial Llc Method and apparatus for displaying a thought network from a thought's perspective

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7071594B1 (en) 2002-11-04 2006-07-04 Microvision, Inc. MEMS scanner with dual magnetic and capacitive drive

Also Published As

Publication number Publication date
NO314425B1 (en) 2003-03-17
AU2001282694A1 (en) 2002-01-21
NO20003576L (en) 2002-01-14
NO20003576D0 (en) 2000-07-12

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