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Journal . 2026
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2026
License: CC BY
Data sources: Datacite
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Toward an Indic Metadata Model: A Navya-Nyāya Grounded Framework for Structured Knowledge Representation

Authors: Rajarshi Das;

Toward an Indic Metadata Model: A Navya-Nyāya Grounded Framework for Structured Knowledge Representation

Abstract

The paper demonstrates the ability of an Indian school of logic and philosophical system, Navya-Nyāya, to comprehensively act as a conceptual framework for an Indic metadata model. It demonstrates how Navya-Nyāya’s precision in organising relational logic, epistemological rigour, and linguistic formalism can inform the structure, semantics, and functionality of metadata systems. The study investigates fundamental notions such as 'sambandha' (relation), qualifier–qualification structures, 'avacchedaka' (limitors), and inferential methods, aligning them with modern metadata models like RDF triples and layered data frameworks. The paper suggests a philosophically sound, very detailed way to express information by using Navya-Nyāya's theory of relations, which includes direct, indirect, and occurrence-exacting relations, in the construction of metadata. The resulting model improves accuracy, semantic clarity, and compatibility, fixing problems with how metadata is used now. The research concludes that Navya-Nyāya serves as both a historical intellectual resource and a robust conceptual framework for contemporary information systems, especially in scenarios necessitating intricate relational mapping and interpretative precision.

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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
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