山东大学学报 (工学版) ›› 2021, Vol. 51 ›› Issue (2): 26-33.doi: 10.6040/j.issn.1672-3961.0.2020.212
• • 上一篇
龚乐君1,2,杨璐1,高志宏3,李华康1,4,5
GONG Lejun1,2, YANG Lu1, GAO Zhihong3, LI Huakang1,4,5
摘要: 基于长链非编码核糖核酸(long non-coding RNA, LncRNA)和疾病关系的分析,对LncRNA和疾病知识概念建模,提出一种有效的LncRNA与疾病关系的知识图谱构建方法。使用Protégé构建本体结构,建构概念层,整合结构化与非结构化两种不同来源的数据形成数据层,通过资源描述框架(resource description frame, RDF)/网络本体语言(web ontology language, OWL)技术对数据及相应的关系进行描述,采用基于前向推理的产生式规则进行相应的知识推理,通过SPARQL查询语言和可视化技术展示知识查询的推理效果。这一研究将为LncRNA与疾病的关系研究提供参考,推动该领域的发展。
中图分类号:
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