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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
问句类别
问句示例
标签
数量/个
药用植物_药材
花仙子可制成哪些药材?
0
4 770
药材_药用植物
艾叶灰的原材料是什么?
1
200 837
药材_药方
哪些药方中含有巴豆仁?
2
231 735
药方_药材
升麻散中有哪几种药材?
3
177 254
药用植物_化合物
玄参中含有哪些化合物?
4
11 130
药用植物_植物图像
花仙子是什么样子?
5
5 300
Table 4
User question simulation data set
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 3
Relationship categories and quantities
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