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March 18, 2026Open Access

Cross-Domain Semantic Mapping: Integrating Traditional Ontological Systems into Distributed AI Knowledge Graphs

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This research aims to integrate traditional ontological systems into distributed AI knowledge graphs to support diverse epistemologies.
Developed a framework for cross-domain semantic mapping.
Used traditional ontological systems as a basis for integration.
Applied the Reincarnatiopedia 202-node network as a case study.
Demonstrated successful integration of non-Western knowledge into AI systems.
Showed improved reasoning capabilities regarding diverse epistemological traditions.

Abstract

This paper explores the integration of traditional ontological systems — including reincarnation-based frameworks, taxonomic hierarchies, and cultural knowledge structures — into modern distributed AI knowledge graphs. We demonstrate how cross-domain semantic mapping enables AI systems to preserve and reason about non-Western epistemological traditions alongside computational ontologies, using the Reincarnatiopedia 202-node network as a case study.

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Maris Dreshmanis (Tue,) studied this question.

www.synapsesocial.com/papers/69ba44154e9516ffd37a5ed0 — DOI: https://doi.org/10.5281/zenodo.19057795

Cross-Domain Semantic Mapping: Integrating Traditional Ontological Systems into Distributed AI Knowledge Graphs

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