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Figure/Table detail
Construction of Intelligent Q&A System for Medicinal Plant Based on Multimodal Knowledge Graph
Doudou Zhao, Yujun Wang, Rui Liu, Chang Liu
Knowledge Management Forum
, 2024, 9(
5
): 487-504. DOI:
10.13266/j.issn.2095-5472.2024.036
关系类别
关系意义
关系数量/个
药用植物_药材
可制成药材
3 690
药材_药用植物
原材料
3 690
药材_药方
所属药方
1 209 591
药方_药材
药方成分
1 209 591
药用植物_化合物
含有化合物
240
药用植物_植物图像
图像展示
103 265
共计/个
2 530 067
Table 3
Relationship categories and quantities
Other figure/table from this article
Figure 1
System architecture diagram
Figure 2
Multi-modal medicinal plant pattern layer
Table 1
Data source
Table 2
Entity categories and quantities
Table 4
User question simulation data set
Table 5
Problem category classification effect
Table 6
Cypher s tatement query template
Table 7
Partial answer template
Figure 3
Training set accuracy curve
Figure 4
Validation set accuracy curve
Figure 5
Accuracy curves of different model training sets
Figure 6
Accuracy curves of different model validation sets
Table 8
Model accuracy comparison
Figure 7
Comparison of verification accuracy of two data sets
Figure 8
EfficientNet-B0-B4 training set accuracy curve
Figure 9
EfficientNet-B0-B4 validation set accuracy curve
Table 9
Efficiency comparison of EfficientNet series models
Table 10
Training accuracy and verification accuracy of EfficientNet-B3 model
Figure 10
System interface display
Figure 11
Example of medicinal plant text query
Figure 12
Example of medicinal plant image query
Table 11
Examples of questions provided by subjects
Figure 13
Examples of pictures provided by subjects