Encyclopedic Model: From Textual Data to Visual Knowledge

An innovative manifesto on knowledge organization, proposing a new, AI-driven model for a visual encyclopedia. The document outlines a conceptual shift from redundant, text-heavy data toward concise, visually-rich knowledge. This manifesto addresses the fundamental flaws of current knowledge platforms like Wikipedia, advocating for a new approach based on brevity, clarity, and AI-powered content generation. It introduces a model where AI analyzes and transforms textual information into unique, illustrative, and copyright-free content. This conceptual analysis and vision statement is available in Russian, English, Spanish, French, German, and Chinese.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-28
DOI
https://doi.org/10.5281/zenodo.16987562
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Encyclopedic Model: From Textual Data to Visual Knowledge

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

Encyclopedic Model: From Textual Data to Visual Knowledge

article en

Abstract

An innovative manifesto on knowledge organization, proposing a new, AI-driven model for a visual encyclopedia. The document outlines a conceptual shift from redundant, text-heavy data toward concise, visually-rich knowledge. This manifesto addresses the fundamental flaws of current knowledge platforms like Wikipedia, advocating for a new approach based on brevity, clarity, and AI-powered content generation. It introduces a model where AI analyzes and transforms textual information into unique, illustrative, and copyright-free content. This conceptual analysis and vision statement is available in Russian, English, Spanish, French, German, and Chinese.

Zenodo (CERN European Organization for Nuclear Research)
Google (United States) (US), Microsoft Research (United Kingdom) (GB)
Quality Education
Openalex Percentile: Top 62%
Geochemistry and Geologic Mapping
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