Deborah L Macpherson, 60512 Beulah Rd, Vienna, VA 22180

2005020, Sep 22, 2005

Mar 18, 2004

10/803040

Deborah MacPherson - Vienna VA, US

G06F017/30

707001000

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.

2009006, Mar 5, 2009

Jun 26, 2008

12/146821

Deborah L. MacPherson - Vienna VA, US

G06F 17/30

707103 R, 707E17044

Information is analyzed and developed by creating consolidated representations of groups of data, which are associated with context information, comprising information about relationships between the groups of data, to create representations of the groups of data. The context information is embedded as symbols in descriptions of at least some of the groups of data. The symbols are used in mapping hierarchical relationships between the groups of data. Representations having commonalities are consolidated. A data network structure having network components comprising groups of data, representations and/or consolidated representations is stored. A data network structure display is created with sounds, light, forms, textures and/or colors, and is analyzed using signal processing or mathematical techniques to review context information associated with the network components without reference to groups of data in the network components. The display analysis creates new information, which is stored for retrieval by a plurality of users.