Heritage Science
Element mining, network associations and scene reconstruction of qiantang river poetry road literary allusion landscapes
This study pioneers an Element Mining-Network Connection-Scenario Reconstruction framework for Qiantang River Poetry Road, visualizing implicit links between allusions, and between allusions and their environments to provide a context-specific reference model for regional literary heritage corridors.
Executive Impact: AI-Driven Literary Heritage
The integration of AI-driven semantic analysis and generative modeling offers unprecedented insights into literary heritage. Our framework identifies 228 standard allusion terms and 4229 connection groups, revealing distinct regional allusion clusters. This approach significantly enhances the protection and activation of literary landscapes, enabling richer cultural experiences and more effective heritage management strategies. The advanced visualization capabilities of our system allow for dynamic, scenario-based reconstruction, transforming abstract literary data into tangible, immersive cultural experiences.
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Standard Allusion Terms Identified
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Allusion Connection Groups
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Model Precision (F1-Score)
Deep Analysis & Enterprise Applications
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Innovative Analytical Framework
Our novel Element Mining-Network Connection-Scenario Reconstruction framework integrates deep learning, semantic network analysis, and generative AI for comprehensive literary allusion analysis.
ALBERT+CRF for Allusion Recognition
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Gephi for Network Analysis & Clustering
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Stable Diffusion 3 for Scenario Reconstruction
Allusion Identification Accuracy
The ALBERT+CRF model achieved high performance in identifying literary allusions, ensuring data reliability for subsequent analyses.
0.87 Overall F1-Score for Allusion Recognition| Reach | Dominant Allusion Cluster | Key Characteristics |
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| Upper Reaches | Boat Hermitage (Autumn Waters Canoeing) |
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| Middle Reaches | Fishing Hermitage (Misty Rain Solitary Angling) |
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| Lower Reaches | Tidal Culture Narrative (Tidal Thunder Resonance) |
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Top Recognized Scenarios
The most recognized scenarios across the river basin provide key insights into prominent literary landscape themes.
Autumn Waters Canoeing (44Wd) Highest Recognition Cluster (Upstream)Top Recognized Scenarios
The most recognized scenarios across the river basin provide key insights into prominent literary landscape themes.
Misty Rain Solitary Angling (48Wd) Highest Recognition Cluster (Midstream)Top Recognized Scenarios
The most recognized scenarios across the river basin provide key insights into prominent literary landscape themes.
Tidal Thunder Resonance (86Wd) Highest Recognition Cluster (Downstream)Cultural Heritage Activation
This framework offers a context-specific reference model for protecting and activating river-basin-based regional literary heritage corridors. It transforms abstract literary data into tangible, immersive cultural experiences, promoting regional cultural identity and dynamic dissemination of traditional culture. For instance, in the upper reaches, the 'Withdrawal-Engagement-Transcendence' Boat Hermit Culture Narrative System is constructed around Yan Ziling's 'fishing seclusion in Fuchun', integrating local history, ecology, and modern interactive experiences like Go competitions and 'boating to explore allusions' water routes. This allows tourists to participate in role-playing, earn 'Seclusion Points', and exchange them for cultural gift boxes, fostering a deep understanding of 'rivers and lakes hermit culture.'
Challenge: Ineffective exploration of regional cultural value and insufficient social recognition of Poetry Road culture.
Solution: Scenario-based generation of allusions and associated landscape elements, fostering immersive aesthetic experiences.
Impact: Enhanced protection and inheritance of Qiantang River Poetry Road's overall cultural ecology, providing a model for similar heritage corridors.
Calculate Your Potential ROI
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Your AI Implementation Roadmap
A phased approach to integrate AI-driven literary heritage analysis into your operations.
Phase 1: Data Acquisition & Model Training
Collection and preprocessing of Song Dynasty poetic texts from the Qiantang River Poetry Road. Training of the ALBERT+CRF model for accurate allusion recognition. Establishment of a structured knowledge base.
Phase 2: Semantic Network Analysis & Clustering
Application of Gephi for semantic network analysis. Identification of allusion-related connection groups and cluster segmentation. Visualization of implicit links between allusions and landscape elements.
Phase 3: Scenario Reconstruction & Validation
Generation of visual scenarios using Stable Diffusion 3 based on identified clusters. Validation against historical materials and landscape descriptions. Refinement of scenarios for artistic and historical accuracy.
Phase 4: Pilot Implementation & Engagement
Development of interactive cultural experiences and heritage activation programs along the Qiantang River. Engaging local communities and tourists through scenario-based narratives and activities. Monitoring and evaluation of cultural impact and visitor engagement.
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