GEO-SEMANTIC INTERFACE: A System and Method for Navigating and Visualizing High-Dimensional Geometrodynamic Data

Abstract A system and method for processing and visualizing high-dimensional spatiotemporal data on a client device, such as a mobile telephone, is disclosed. The invention models spacetime not as a passive Euclidean background but as a dynamic, high-dimensional General Reality Manifold (GRM) whose geometry is actively shaped by the distribution of energy and information.1 The method comprises receiving a data stream representing the state of this manifold from a central processing core, translating the intrinsic geometric properties of the manifold into an intuitive and interactive user interface, and calculating optimal pathways (geodesics) for navigation within this manifold.1 The invention overcomes the profound limitations of prior art by replacing reactive, classical computational models with a predictive, geometrodynamic optimization engine. This enables unprecedented efficiency and capability in complex logistical applications, including but not limited to, space transportation, telecommunications network management, and abstract systems analysis

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-23
DOI
https://doi.org/10.5281/zenodo.17183053
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

GEO-SEMANTIC INTERFACE: A System and Method for Navigating and Visualizing High-Dimensional Geometrodynamic Data

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

GEO-SEMANTIC INTERFACE: A System and Method for Navigating and Visualizing High-Dimensional Geometrodynamic Data

article en

Abstract

Abstract A system and method for processing and visualizing high-dimensional spatiotemporal data on a client device, such as a mobile telephone, is disclosed. The invention models spacetime not as a passive Euclidean background but as a dynamic, high-dimensional General Reality Manifold (GRM) whose geometry is actively shaped by the distribution of energy and information.1 The method comprises receiving a data stream representing the state of this manifold from a central processing core, translating the intrinsic geometric properties of the manifold into an intuitive and interactive user interface, and calculating optimal pathways (geodesics) for navigation within this manifold.1 The invention overcomes the profound limitations of prior art by replacing reactive, classical computational models with a predictive, geometrodynamic optimization engine. This enables unprecedented efficiency and capability in complex logistical applications, including but not limited to, space transportation, telecommunications network management, and abstract systems analysis

Zenodo (CERN European Organization for Nuclear Research)
Istanbul Medipol University (TR)
Openalex Percentile: Top 29%
Geochemistry and Geologic Mapping
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