基于本体对齐和映射技术的药物知识表示

H. Jayadianti, Alisya Amalia Putri Hasanah, Yulianti Fauziah, S. Saifullah
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引用次数: 0

摘要

药物搜索仍然基于药物名称和品牌,这使得患者很难通过说他们感到不舒服来寻求治疗。同样,在寻找药物和有关其内容的信息时,避免在药物不可用时更换药物时出现过量错误。基于提出的问题,研究了应用语义web本体来搜索基于患者姓名、成分或疾病主诉出现的药物。prot 5.5用于表示基于知识的药物信息。该应用程序使用Netbeans和Jena API作为库,并在语义web上创建数据和药物信息。药物搜索也使用基于用户知识的类似信息含义。通过使用语义web本体技术表示药物和疾病信息搜索中的知识,可以达到研究的目的,即按照用户的意愿改进药物和疾病信息搜索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge representation of drug using ontology alignment and mapping techniques
Drug searches are still based on drug names and brands, making it difficult for patients to come looking for a cure by saying that they feel sick. Likewise, when looking for drugs and information about their content to avoid overdose errors when changing drugs when drugs are supposed to be unavailable. Based on the issues raised, a study was conducted on applying semantic web ontology to search for drugs that can appear based on patients’ names, compositions, or complaints of diseases. Protégé 5.5 serves to represent drug information based on knowledge. The application uses Netbeans with Jena API as a library and creates data and drug information on the semantic web. Drug search also uses similar in-formation meaning based on user knowledge. By representing knowledge on the search for drug and disease information with semantic web ontology technology, it can meet the purpose of research, namely to improve drug and disease information search following the user’s wishes.
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