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arXiv AI By Hokky Situngkir

Artificial Intelligence-Assisted Digital Inventory of Cultural Heritage & Traditional Knowledge: Case for Indonesian Open Digital Library of Culture

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The paper proposes a five‑stage AI‑driven framework to autonomously harvest and enrich cultural heritage data for Indonesia’s Open Digital Library of Culture. It addresses coverage, integrity, and completeness gaps by combining focused crawling, multilingual extraction, vector encoding, agentic decision‑making, and idempotent publication, while preserving key human roles such as curator, approver, auditor, and guardian of meaning. The methodology includes formal economic, statistical, and ethical safeguards to ensure accurate, non‑overwriting, and culturally sensitive data integration.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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