基于本体参考数据的生物医学本体融合模型研究  

ONTOLOGY FUSION MODEL OF BIOMEDICINE BASED ON ONTOLOGY REFERENCE DATA

作　　者：曹春萍[1] 张政 Cao Chunping;Zhang Zheng(School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China)

机构地区：[1]上海理工大学光电信息与计算机工程学院,上海200093

出　　处：《计算机应用与软件》2018年第10期38-44,共7页Computer Applications and Software

基　　金：国家自然科学基金青年项目(61703278)

摘　　要：生物医学本体是在集成了多个高质量医学知识库的基础上形成的明确的知识表达系统。目前,该领域本体大多单一存在,并只针对一方面知识进行概括。面对生物医学上问题的多样化和复杂性,多个本体进行融合后会更好地促进领域知识的共享和表达,提供多维度解决问题的视角。GO(Gene ontology)、DO(Disease ontology)和HPO(Human phenotype ontology)是生物医学中三个重要的本体知识库。通过对三个本体的结构和内容的分析,回溯本体构建过程,从本体构建数据源中挖掘不同本体间存在的关联关系,从而达到本体融合的目的,实现跨领域本体的知识共享。这对从基因分子水平上剖析疾病的产生,以及疾病在体征上的表达等因果串联性研究有着重要意义。The biomedical ontology is a definite knowledge expression system based on the integration of nmhiple high-quality information from the medical knowledge base. Currently, most of the ontologies in this field exist alone and summarize the knowledge only on the one hand. For the diversity and complexity of biomedical problems, the integration of multiple ontologies will better promote the sharing and expression of domain knowledge, and provide a multidimensional solution to the problem. GO （gene ontology）, DO （disease ontology） and HPO（ human phenotype ontology） are three important ontology knowledge bases in biomedicine. Through the analysis of the structure and content of the three ontologies, we traced the ontology construction process and excavated the relationship between the different ontologies from the ontology construction data source so as to achieve the purpose of ontology fusion and realize the knowledge sharing of cross-domain ontology. This is of great significance for the analysis of causal tandem studies such as the generation of diseases at the molecular level of genes and the physical expression of diseases.

关 键 词：本体 本体融合 基因网络 CroGO 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]