AI-Based Integrated Analytical Framework for Textual and Archaeological Data -Focusing on Ancient Tribes and Polities in Manchuria and the Northern Korean Peninsula-

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Key Points

This research aims to improve the understanding of ancient tribes and polities in Manchuria and the Northern Korean Peninsula by integrating textual and archaeological data.
Utilized generative artificial intelligence and large language models for data structuring.
Combined retrieval-augmented generation with Vibe Coding and a human-in-the-loop system.
Proposed a structured environment for analyzing unstructured texts and archaeological data collaboratively.
Successfully integrated textual and archaeological data to address the issue of 'dark data'.
Facilitated a framework to reconstruct ancient tribes and political entities in relational context.
Demonstrated potential for methodological shifts in AI-based digital archaeology and ancient history research.

Explores new data integration methods for understanding ancient tribes in Manchuria, suggesting significant advancements in research methodology.

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OH et al. (2026) studied this question.

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