Digital-intelligent Integration for Intangible Cultural Heritage Protection: A Knowledge Graph Construction Framework

Wang Tao

School of Artificial Intelligence, Zibo Polytechnic University

Abstract：

Intangible cultural heritage (ICH) constitutes a vital repository of human creativity and cultural memory, yet its safeguarding remains hindered by data fragmentation, semantic shallowness, and the absence of systematic knowledge organization. This paper proposes a comprehensive framework for constructing ICH-oriented knowledge graphs within a digital-intelligent integration paradigm. Drawing upon ontology engineering, natural language processing, and large language model technologies, the framework addresses the full lifecycle of knowledge graph development—from heterogeneous data acquisition and standardization through ontology design, entity and relation extraction, graph storage and visualization, to intelligent reasoning and dynamic updating. The paper situates this technical framework within the broader policy landscape, including China's National Cultural Digitization Strategy and UNESCO's evolving normative instruments, and discusses the implications for heritage protection practice. The proposed approach transforms ICH protection from passive documentation into an active, semantically rich, and dynamically evolving knowledge management system capable of revealing hidden relationships among heritage elements and supporting intelligent decision-making for heritage conservation.

Key Words：

Intangible Cultural Heritage; knowledge graph; digital-intelligent integration; ontology engineering; CIDOC CRM; semantic reasoning; large language models