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ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
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ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Conference object . 2025
License: CC BY
Data sources: Datacite
ZENODO
Conference object . 2025
License: CC BY
Data sources: Datacite
ZENODO
Conference object . 2025
License: CC BY
Data sources: Datacite
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A Trope-Theoretical Framework for Knowledge Representation

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type 09 Dec 2025Publisher:Zenodo
Authors: yargan, dilek;

doi: 10.5281/zenodo.17866678 , 10.5281/zenodo.17867187 , 10.5281/zenodo.17866677

A Trope-Theoretical Framework for Knowledge Representation

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.

Related Organizations
Keywords

Big data, knowledgre representation, trope theory

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average