Systems and methods for visual optimal ordered knowledge learning structures

• US 20020049689A1
• Filed: 07/10/2001
• Published: 04/25/2002
• Est. Priority Date: 10/20/2000
• Status: Abandoned Application

• Current Assignee: Srinivas Venkatram
• Original Assignee: Srinivas Venkatram
• Inventors: Venkatram, Srinivas
• Application Number:
  US09/902,067
• Publication Number:
  US 20020049689A1
• Time in Patent Office: Days
• US Class Current: 706/45
• CPC Class Codes: G06F 16/954 Navigation, e.g. using categorised browsing
• CPC Class Codes: G09B 5/00 Electrically-operated educational appliances working with questions and answers G09B7/00; simulators G09B9/00; advertising or displaying in general G09F

Abstract

The Visual OOKS technology of the present invention comprising an Access Interface, which presents the user'"'"'s needs and environment in terms of specified goals, outcomes and other related information, a plurality of user interfaces in which learning structures are embedded as navigational and organizational elements, and which are selected and presented to the user on the basis of the users specification of outcome or task goals, and further comprising of a retrieval engine and a tagged database such that the retrieval engine is able to select the appropriate knowledge object from the tagged database, logically organize them, and present to the user in terms of learning structure which has been prior presented to the user. The Visual OOKS platform may have an additional layer for appropriate visual presentation of the document. The Visual OOKS platform uses a unique Universal Classification Knowledge Framework (UCKF).

Claims

1. ) A visual optimal ordered knowledge system (VISUAL OOKS) comprising:

An access portal used for knowledge seeker'"'"'s real life outcomes,

A plurality of learning structures used for implementing logical formatting based on combining said outcomes with concepts and knowledge paths,

A knowledge router for selecting content requirements customized to seeker'"'"'s requirements, said content being selected on the basis of a classification model for knowledge access in general, said model comprising of four set of tags including <

seeker, context, concept or knowledge path>

(known as UCKF, for Universal Classification Knowledge Framework),

A database used for storing documents and knowledge objects in digital medium of the basis of UCKF, and

Means for the knowledge router to present the customized knowledge objects to the knowledge seeker according to said learning structure and said UCKF, said means including information filtering, digital formatting or physical presentation.

2. ) The VISUAL OOKS according to claim 1, wherein the plurality of learning structures are built to logically organize the knowledge objects and further define new knowledge objects, such that the knowledge objects are tied to a concept, and said learning structures further comprise:

a) a clearly specified outcome for the learning structure,

b) a set of concepts uniquely defined and organized to meet the specified outcome, and

c) each of said concepts comprising one of more learning paths.

4. ) The access portal according to claim 1, wherein said access portal presents to users their goals and outcomes sought in the form of hierarchies and maps, thereby enabling the users to specify their requirements.

5. ) The VISUAL OOKS according to claim 1, wherein the knowledge router enables the logical organization of knowledge objects according to an appropriate learning structure, and said knowledge router is further able to

a) identify the learning structures and concept requirements,

b) build appropriate tags based upon the identification made in (a),

c) search appropriate knowledge objects from a knowledge base, said knowledge objects meeting the identification requirements,

d) logically organize the knowledge objects on the basis of the learning structures,

e) carry out further filtering, selection or search such that the selection and organization of knowledge objects meet the outcome requirements of the learning structure, and

f) enable the users to view, filter, select, print or further organize the knowledge objects for the purpose of knowledge use.

6. ) The VISUAL OOKS according to claim 1, wherein the system includes a “

dothelp platform”

used to provide diagnostic help to information seekers.

8. ) The VISUAL OOKS according to claim 5, wherein said knowledge router enables the user to convert a computer from a knowledge-pull device to a knowledge-push device.

9. ) The VISUAL OOKS according to claim 1, wherein each piece of tagged content is stored in a digital medium on the basis of the UCKF

3. ) A classification model of individual knowledge objects, said model comprising of a set of tags describing:

a) The seeker,

b) The context,

c) The concept, and

d) The knowledge path,

Wherein the classification model represents the knowledge seeker, the type of outcome sought by the knowledge seeker, the specific concept from within a knowledge base, and the type of knowledge object relevant to the outcome sought.

7. ) A User Centric Outcome Based Access Engine comprising:

a) a first layer, wherein a user interface presents to the user a listing of tasks typical of the user'"'"'s day-to-day work,

b) a second layer, wherein, upon selection of an approximate task, a search engine presents to the user a set of key work dimensions to assist the user to further filter out relevant documents,

c) a third layer, wherein the search engine accesses a local database, said database comprising of a set of tagged documents, and said documents being relevant and useful for the user to perform a specific task.

10. ) A method of visually optimally ordering knowledge systems (VISUAL OOKS), comprising the knowledge push steps of:

a) presenting to a user a set of choices in terms of goals, outcomes and relationships thereof, and related information, such choices describing the user'"'"'s real life task and goal requirements.

b) presenting to the user, on the basis of the goal seeking intuitive choices made by the user, the appropriate learning structure from a library of learning structures, which provide a logical and meaningful knowledge based approach for a solution to the user'"'"'s specified goal or outcome,

c) presenting to the user the appropriate knowledge objects logically organized and filtered such that the appropriate knowledge may be pushed to the user on the basis of the user'"'"'s specified goal or outcome

d) facilitating the steps above by way of accessing and retrieving a series of information sets or knowledge objects from a tagged database, and

e) facilitating the steps above by way of tagging and storing a large number of information fragments, knowledge objects, or documents in multiple media on the basis of the UCKF such that the system described above is able to select, retrieve, organize, present, and deliver to the user the customized documents appropriately organized, in a logical sequence.

11. ) A method for managing knowledge to customize content for a specific knowledge seeker, said method comprising:

a) tagging individual documents in terms of use, by means of a Universal Classification Knowledge Framework (UCKF).

b) building a set of visual structures to provide access to a body of knowledge, and providing choices within a logical structure in terms of the seeker'"'"'s context, and

c) allowing selection and linkage of appropriate documents in response to a seeker'"'"'s request, in a retrieval engine.

12. ) The method for managing knowledge according to claim 11, further comprising capturing knowledge in terms of a set of knowledge paths and classifying knowledge in terms of “

clusters”

in a storage and retrieval unit.