ABSTRACT
Objective To explore a construction method of semantic relations of the top-level ontology of military medicine in order to construct the top-level ontology semantic network.Methods The military medical corpus was selected,and the relationships between the concepts were extracted using text analysis.On the basis of inheriting the semantic relations of UMLS,the special semantic relations of military medicine were added.Results A method of establishing the semantic relations of the top-level ontology of military medicine was proposed,the applicability of which was verified by example of the branch of military medical equipment.Conclusion The proposed method is effective and feasible,which can provide important support to the establishment of top-level semantic networks of military medicine.
ABSTRACT
The paper describes the organization framework,representation pattern,relation model and expression rule of SNOMED CT based on concept,and then explores the application of SNOMED CT in the expression of medical data and semantic retrieval.Thus,it can provide reference for the research and development of the terminology standard of clinical diagnosis and treatment,and promote the study of processing,mining and analysis of clinical medical data in China.
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.
ABSTRACT
This study analyzed the current clinical terminology standardization, systematization research status of traditional Chinese medicine(TCM). The previous version of the TCM clinical term system had some problems including imperfect classification structure, unclear relationship between concepts and so on, which made the TCM clinical terminology system(TCMCTS) difficult to support the clinical practice of TCM. The suggestions for system improvement were using ontology method to build TCMCTS concept model bases on the previous researches and data extracted from TCM clinical electronic medical record, and top-level-ontology accordance with ISO standards. The study also tried to summarize the ‘semantic network between classes’ through semantic relationships.