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Enterprise AI Analysis: Knowledge graph-driven digital preservation of intangible cultural heritage: a cross-cultural comparative study of Chinese and Western implementation paradigms

Enterprise AI Analysis

Knowledge graph-driven digital preservation of intangible cultural heritage: a cross-cultural comparative study of Chinese and Western implementation paradigms

Our AI-powered analysis of this research article uncovers critical insights for strategic decision-making in digital cultural heritage preservation. Explore the key findings and their implications for your organization.

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Executive Impact: Key Metrics & Opportunities

Quantifiable insights derived from the research, highlighting the scope and potential of digital preservation in cultural heritage.

0 Total Publications Analyzed
0 WoS Valid Articles
0 CNKI Valid Articles
0 WoS Core Authors (Min.)
0 CNKI Core Authors (Min.)
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Deep Analysis & Enterprise Applications

Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.

798 Total Publications Analyzed

This study analyzed 798 research articles from the Web of Science (WoS) and China National Knowledge Infrastructure (CNKI) databases between 2006 and 2024, revealing a gradual upward trend in publications on ICH digitalization.

WoS Publication Growth Phases

Slow Initial Growth (2006–2012)
→
Steady Expansion (2013–2019)
→
Rapid Development (2020–2024)

Research in the Web of Science database evolved through distinct phases: slow initial growth, steady expansion, and rapid development, marked by increasing international collaboration and technological advancements.

CNKI Publication Trend Differences

Faster Early Growth (2006-2012)
→
Fluctuating Development (2013-2019)
→
Stable Growth (2020-2024)

In contrast to WoS, CNKI showed faster early growth, followed by fluctuating development, and then stable growth, reflecting different regional research dynamics.

Core Authorship in ICH Digitalization
Database Key Finding
Web of Science
  • Identified 10+ core authors with >=2 publications, including Crawford, Guo Jing, Lee Der-Horng, and Giaccardi.
  • Network shows a relatively sparse but emerging collaborative structure (Density=0.0059).
CNKI
  • Identified 10+ core authors with >=2 publications (e.g., Ying Zhang, Biyong Tan).
  • Network shows moderate connectivity and a dispersed structure (Density=0.0031), suggesting limited large-scale collaboration.

Analysis of author collaboration networks using Price's Law reveals insights into core contributors and collaboration intensity in both WOS and CNKI databases.

Research Hotspots and Thematic Clusters
Database Key Themes and Structure
Web of Science
  • Density of 0.0103 suggests a diverse and expanding field.
  • Early focus: digital preservation, digital technology, cultural heritage.
  • Recent focus: models, user experience, virtual reality, augmented reality, AI, digital humanities.
CNKI
  • Density of 0.0076 indicates weaker connectivity and fragmentation.
  • Early focus: digitalization, protection, inheritance, information technology.
  • Recent focus: AI, digital culture, digital humanities, metaverse.

Keyword co-occurrence analysis reveals thematic distributions and research hotspots in ICHD across WOS and CNKI databases.

Evolution of Research Trends Over Time
Database Trend Evolution
Web of Science
  • Shifted towards efficient and innovative technologies (VR, AR, AI).
  • Increased emphasis on user experience optimization and immersive engagement.
  • Expansion to social media and augmented reality applications.
CNKI
  • Shifted from traditional cultural preservation to digital technology applications.
  • Emergence of AI, digital culture, and digital humanities as future innovations.
  • Persistent focus on 'digitalization', 'protection', and 'transmission' from early years.

Timeline analysis reveals the emergence, duration, and transformation of core concepts in ICH digitalization research in WOS and CNKI.

Conceptual Orientations: China vs. West
Region Key Orientation
Western Research
  • Technology-centric, emphasizing VR, AR, blockchain for data modeling, archiving, and virtual exhibitions.
  • Focus on digital storytelling, user-centered design, and VR immersion.
  • Emphasizes civic participation, digital commons, openness, and pluralism.
Chinese Research
  • Culture-technology symbiosis, focusing on digital storytelling, tourism-integrated innovation, community participation.
  • Focus on cultural confidence, red tourism, and folk identity.
  • Emphasizes cultural continuity, state-led safeguarding, national identity, and narrative control.

Distinct conceptual orientations drive ICH digitalization practices in China and the West, reflecting differing epistemologies and societal expectations.

Technological Applications and Implementation Paradigms
Region Application Focus
China
  • Increasingly adopted advanced technologies like VR, AR, 3D scanning, and AI to preserve traditional crafts and performing arts (e.g., Digital Dunhuang project, Beijing opera VR rendition).
  • Focus on immersive visual reconstruction and cultural fidelity led by state institutions.
The West
  • Maintains leadership in innovative applications for digital museums, archives, and document preservation (e.g., Time Machine Project, Living Archive of Aboriginal Languages).
  • Leverages data mining and intelligent search technologies for academic research.
  • Emphasizes interactivity, openness, and user-centered design enabled by decentralized, collaborative innovation.

China and the West employ distinct technological applications and implementation paradigms for ICH digitalization.

Cultural Transmission and Public Engagement
Region Engagement Strategy
China
  • Emphasizes public engagement at the societal level, particularly in local ICH projects, involving communities and inheritors (e.g., Digital Museum of Chinese Traditional Villages, Douyin/TikTok campaigns).
  • Focuses on broad dissemination and narrative presentation through media and institutional support.
The West
  • Focuses on leveraging open platforms and digital resource sharing to enhance public participation (e.g., Google Arts & Culture, Crowdsourced Transcription Project, Europeana, UNESCO digital portals).
  • Prioritizes participatory engagement, community authorship, and inclusive co-curation.

Approaches to cultural transmission and public engagement differ significantly between China and the West.

Proposed Integration Pathways for Sino-Western Collaboration

Combining Western motion capture with China's contextualized narratives
→
Integrating global digital archive standards with local metadata specifications
→
Merging virtual community operations with physical inheritor networks

Three key pathways are proposed to integrate Chinese and Western approaches, fostering a more resilient and inclusive global ICH preservation framework.

Synergy Technology-Culture-Community Framework

A 'technology-culture-community' trilateral synergy framework is proposed to advance global ICH preservation, highlighting how appropriate digital tools, symbolic practices, and participatory engagement can be integrated to preserve authenticity, enhance expression, and transmit heritage effectively.

Toward a Holistic and Inclusive ICH Preservation

Looking ahead, there is an urgent need to establish interdisciplinary collaboration frameworks that emphasize the convergence of digital humanities and cultural anthropology. This requires in-depth exploration of emerging technological domains such as AI ethics construction and metaverse ecosystem evolution, investigating their impact mechanisms on the living transmission of intangible cultural heritage and corresponding cultural governance paradigms. Ultimately, these efforts aim to develop more inclusive pathways for digital cultural heritage preservation that harmonize technological progress with the protection of cultural authenticity while addressing global-local dynamics in standardization processes.

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Your AI Implementation Roadmap

A phased approach to integrate AI into your cultural heritage or digital preservation initiatives, ensuring sustainable growth and maximal impact.

Phase 1: Discovery & Strategy

Conduct a comprehensive audit of existing cultural heritage assets, digital infrastructure, and preservation goals. Define AI integration strategy, identify key stakeholders, and establish success metrics.

Phase 2: Data Foundation & Pilot

Implement robust data ingestion and knowledge graph construction for ICH. Develop a pilot AI solution (e.g., for 3D modeling, VR/AR content generation) on a small, controlled dataset.

Phase 3: Scaled Development & Integration

Expand AI solution capabilities, integrate with core systems, and ensure interoperability with existing digital platforms. Focus on user experience design and multi-modal content delivery.

Phase 4: Optimization & Global Outreach

Continuously monitor AI performance, gather community feedback, and optimize algorithms. Develop strategies for global sharing, cross-cultural collaboration, and long-term sustainability.

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