Context driven topologies

Inactive Publication Date: 2005-09-22
ACCURACY & AESTHETICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Nor does most prior art allow for these properties and characteristics to evolve, be influenced, and recorded over time.
Generally, prior art is based on a delicate balance between the ways data relationships are described and derived but does not allow these data descriptions or derivations to vary by preference or specific quality assurances, and how these preferences and assurances affect the value of data.
Research efforts for the development of technology based on the ideas and processes disclosed that are concealed behind other names or purposes may be an infringement upon the inventor's claims and subject to legal action.
No other persons, institutions or companies have legitimate past, present or future claims to these ideas and processes, nor the right to develop the specific technologies disclosed.

Method used

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  • Context driven topologies
  • Context driven topologies
  • Context driven topologies

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Sections

[0086] 1. Context Driven Topology [0087] 2. Concept Boundaries and the Annotation Process [0088] 3. Symbolic Characters and their Function [0089] 4. Evolving Mathematical Knowledge Patterns Converted into Multidimensional Wave Forms [0090] 5. Metaphors [0091] 6. Monitoring, Controlling, and Influencing Information Placement and Proximity over Time [0092] 7. Use of the Automatic Evolving Audio and Visual Language and Display Patterns [0093] 8. Shared Memory [0094] 9. Data Curation and Digital Preservation [0095] 10. Specific Embodiments and Applications

Context Driven Topology

[0096] When mathematical topologists consider knots and entanglements, they usually imagine a knot by also imagining the space around it. If neither changes, then the knot will persist. The invention is applying mathematical topology, algebra and new pattern generation and recognition techniques to digital information context by putting knowledge and ideas into a stream to see how they become entangle...

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PUM

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Abstract

The invention uses mathematical patterns, aesthetics, varying views, and a new system of scale, pacing and edges similar to walking in nature to draw the geometry of knowledge as it changes over time. These drawings have no straight lines, only arcs. There are no corners, only transitions and rotations in specific places on irregular high-dimensional waveforms threading their way through time. Each pattern and each memory form is a unique continuous whole perceived as objects in spaces where both the object and space around it have meaning. When data and data relationships preserved in Context Driven Topologies are interpreted in the future, each whole is broken into components, reinterpreted, recreated, fixed into a new pattern and memory form and reintroduced into the stream. Each component in every topology carries a history of its priority and placement. Very efficient, accurate searches recognize continuous wholes using these histories. Shared context draws data and data arrangements together deep in the background to “gravitate” and “snap” relative proportions, measurements and historical relationships into groups. The creation of new patterns, new memory forms, and the shared memory space will simplify and streamline these geometries over time which will improve the quality of dynamic shared data stores. The intention is to change the communication mode between people and machines and to develop more precise records over longer periods of time.

Description

FIELD OF THE INVENTION [0001] Definition: The word “Machine” as it is used throughout these specifications is intended to mean a computer with a life expectancy of five to ten years—including an operating system or platform (ex. Mac or PC) that may be incompatible with other systems or platforms, various shared and specialized software with a life expectancy of one to three years, and an internet connection equal to current DSL or Broadband. The word “Machines” as it is used in these specifications is intended to mean advanced networks of machines that change and improve over one person, research group, or entire field of study's lifetime. [0002] The invention specifically relates to search, time dependent data compilation and user controlled display methods. The invention will clarify the roles of human conceptual and creative abilities versus the computational skills of machines and corresponds to the fields of Artificial Intelligence (AI); Knowledge Management (KM); Human Compute...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06N5/02
CPCG06N5/02G06T11/206
InventorMACPHERSON, DEBORAH L.
OwnerACCURACY & AESTHETICS