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| Research on Semantic Relevance of Medical Text Oriented to Event Ontology |
| Li Yueyan1,2, Wang Hao1,2, Deng Sanhong1,2, Chen Yan3 |
1.School of Information Management, Nanjing University, Nanjing 210023
2.Jiangsu Key Laboratory of Data Engineering & Knowledge Service, Nanjing 210023
3.College of Life Sciences, Nanjing University, Nanjing 210023 |
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Abstract With the rapid development of Internet-based medicine, digital and smart economies have become inevitable development trends of the future. The semanticization and standardization of medical knowledge is an important means to realize smart medical and digital medicine. However, the more mature medical ontology at this stage only describes some established static knowledge and cannot reveal the dynamic relationships within medical knowledge. Therefore, based on knowledge representation and organization, it is very important to construct a structured representation of medical knowledge that meets the characteristics of narrative text. This study started from the basic theory of narratology and knowledge representation of events. First, based on whether it has narrative characteristics, medical texts are divided into narrative and conceptual texts. Then, the conceptual and the narrative medical texts were semantically modeled and represented, and the medical knowledge ontology model based on the event ontology was constructed. Finally, according to the conceptual model proposed in this paper, the semantic structured representation of the SARS-CoV-2 virus invasion process is realized. The experimental results of preliminary labeling show that the migration of the event ontology model to the semantic structured description of medical text is helpful to realize the in-depth representation and knowledge discovery of medical text. This can better describe the dynamic relationships within medical knowledge and can efficiently characterize the dynamic development characteristics of medical objects in time and space.
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Received: 30 March 2021
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