Study on Clinical Term Semantic Relationship of Traditional Chinese Medicine Based on Clustering
10.11842/wst.2017.12.009
- VernacularTitle:基于聚类的中医临床术语语义关系的研究
- Author:
Jing CHEN
1
;
Liangliang LIU
;
Xiaoru ZHANG
;
Xinyu CAO
Author Information
1. 江苏科技大学计算机学院 镇江 212000
- Keywords:
Chinese medicine;
semantic relation;
clustering;
syntax pattern
- From:
World Science and Technology-Modernization of Traditional Chinese Medicine
2017;19(12):1949-1953
- CountryChina
- Language:Chinese
-
Abstract:
The construction of clinical ontology of traditional Chinese medicine (TCM) is one of the important components of TCM internationalization.Among them,the study of clinical term entity has been quite successful.But the research on semantic relation is still lacking.This paper presented a method based on the combination of clustering and syntax pattern to study the semantic relations between TCM conceptual entities.By extracting the feature words around the entity,K-means was used as the clustering algorithm to perform the first round of clustering for all corpora.Based on results of the first round of clustering,the longest common subsequence was extracted in the same cluster and generalized as syntax pattern.According to the sentence after manual adjustment,it was automatically judged that each sentence in the corpus has the most suitable syntax pattern of semantic relations,and the second round of clustering is characterized by the syntax pattern.The result was the final clustering result.The experimental results showed that the accuracy of this method was 88.23％ for the classification of semantic relations in corpus.
