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Research on Big Data-driven Knowledge Graph Construction Technology for Intangible Cultural Heritage Digital Resources

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29 set 2025
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Figure 1.

The type distribution of intangible cultural heritage projects
The type distribution of intangible cultural heritage projects

Figure 2.

Spatial distribution characteristics
Spatial distribution characteristics

Figure 3.

Knowledge graph construction of intangible cultural heritage digital resources
Knowledge graph construction of intangible cultural heritage digital resources

Figure 4.

BERT-CNN-BiLSTM-CRF(BCBLC) model framework
BERT-CNN-BiLSTM-CRF(BCBLC) model framework

Figure 5.

Model training rotation and prediction of F1
Model training rotation and prediction of F1

Figure 6.

Knowledge graph
Knowledge graph

Partial data properties and metadata mapping relationships

Metadata element or qualifier Data Properties Domain Range
Name Name Unleft project xsd:string
Aliases Aliases Unleft project xsd:string
Subject matter Subject matter Unleft project xsd:string
Key words Key words Unleft project xsd:string
Peoples Peoples Unleft project xsd:string
Historical origin Historical origin Unleft project xsd:string
Basic content Basic content Unleft project xsd:string
Lineage Lineage Unleft project xsd:string
Basic feature Basic feature Unleft project xsd:string
Main value Main value Unleft project xsd:string
Endangered condition Endangered condition Unleft project xsd:string
Protective content Protective content Unleft project xsd:string
Measures taken Measures taken Unleft project xsd:string
Measures taken Measures taken Unleft project xsd:string
Grade Grade Unleft project xsd:string
Batch Batch Unleft project xsd:string
Marker Marker Unleft digital resources xsd:string
Identification Identification Unleft digital resources xsd:string
Coding rule Coding rule Unleft digital resources xsd:string
Coding pattern Coding pattern Unleft digital resources xsd:string
Language language Language language Unleft digital resources xsd:string
Copyright specification Copyright specification Unleft digital resources xsd:string

Data tag for training and testing

Tags Type Train Test Total
NAME Name of the ICH project 15682 5512 21194
TYPE Type of the ICH project 9124 3201 12236
POV The provincial administrative region 9854 4025 13748
LOC The land region 8847 3022 11247
TIME Record time 11795 3945 15784
BATCH Batch batch 7014 2713 9847
LEVEL Rating 12452 4346 17432
O Useless information 53219 8569 31128

Model integrity can be compared

Model P R F1
RNN-CRF 0.711 0.784 0.735
BERT-RNN-CRF 0.812 0.862 0.845
BERT-LSTM-CRF 0.864 0.884 0.847
BERT-BiLSTM-CRF 0.887 0.886 0.894
BERT-CNN-BiLSTM-CRF(This model) 0.901 0.925 0.922

Unlicted digital resource ontology object properties

Object Properties Domain Range
Related project Unleft project Unleft project
Distribute to Unleft project Areal domain
Derive from Unleft project Source of origin
Inheritors Unleft project Inheritors
Declarator Unleft project Declarer
The researchers are Unleft project Researchers
Protectors Unleft project Protectors
Literature resources Unleft project Literature resources
Intuitive object Unleft project Intuitive object
Network resources Unleft project Network resources
Inherited base Unleft project Heritage base
Academic base Unleft project Academic base
There is a government management department Unleft project Administration department
Cultural organization Unleft project Cultural organization
There is a cultural ecological area Unleft project Cultural ecological area
Create on Unleft digital resources Unleft digital resource time
Audit Unleft digital resources Unleft digital resource time
Update Unleft digital resources Unleft digital resource time
Modify Unleft digital resources Unleft digital resource time
Record Unleft digital resources Unlicted digital resources
Creator Unleft digital resources The creator of the non-licerable digital resources
Master Inheritors Inheritors
Create Things Time, place
Liability agency Things Organization
Responsible person Things Things people
Be established Organization Organization time
Take office Figures Figure organization
Native form Figures Location
Lingua:
Inglese
Frequenza di pubblicazione:
1 volte all'anno
Argomenti della rivista:
Scienze biologiche, Scienze della vita, altro, Matematica, Matematica applicata, Matematica generale, Fisica, Fisica, altro