A Trope-Theoretical Framework for Knowledge Representation

In this poster, I propose a new foundational model for knowledge representation. Drawing on inspiration from philosophy and lingusitics, the approach employs trope theory to enable the dynamic semantic processing of Big Data with built-in explainability for the results.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-09
DOI
https://doi.org/10.5281/zenodo.17867187
Primary Topic
Cognitive Computing and Networks
Type
article
Field-Weighted Citation Impact
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article

A Trope-Theoretical Framework for Knowledge Representation

Zenodo (CERN European Organization for Nuclear Research)
Cognitive Computing and Networks
article

A Trope-Theoretical Framework for Knowledge Representation

article en

Abstract

In this poster, I propose a new foundational model for knowledge representation. Drawing on inspiration from philosophy and lingusitics, the approach employs trope theory to enable the dynamic semantic processing of Big Data with built-in explainability for the results.

Zenodo (CERN European Organization for Nuclear Research)
FIZ Karlsruhe – Leibniz Institute for Information Infrastructure (DE)
Openalex Percentile: Top 20%
Cognitive Computing and Networks
DOIOpen Access PDFOpenAlex
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A Trope-Theoretical Framework for Knowledge Representation · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS