我国重要自然宿主及媒介昆虫病毒性病原调查本体的构建与应用  

Construction and Application of the Investigation Ontology for Viral Pathogens in Important Natural Hosts and Insect Vectors

作　　者：吕抒真 范兆军[2] 李天宪[2] 阎保平[1] 

机构地区：[1]中国科学院计算机网络信息中心,北京100190 [2]中国科学院武汉病毒研究所,湖北武汉430071 [3]中国科学院大学,北京100049

出　　处：《科研信息化技术与应用》2014年第4期53-61,共9页E-science Technology & Application

基　　金：国家科技基础性工作专项重点项目"我国重要自然宿主及媒介昆虫的病毒病原调查"(2013FY113500)

摘　　要：本文介绍了采用七步法和Protégé工具构建我国重要宿主与媒介昆虫病毒性病原调查本体,针对病毒性病原调查项目所涉及数据集合中的概念、属性、关系等进行规范化描述,解决了由于数据来源不同产生的一词多义、一义多词等异构问题,实现了数据标准化存储和学科间知识共享。同时基于该本体库、利用Jena API,实现了本体交互、术语查询和语义查询等功能,与传统关键字查询相比,扩展的语义查询结果可以更好满足用户需要。此外,探讨了该本体在对多种病毒性病原和自然宿主、媒介昆虫、地域、生境之间关系的自动文本挖掘方面的应用。该本体的构建,为病毒病原流行病学调查领域本底数据的有序组织和语义层面的利用发挥了有效的支撑作用。This paper presents the construction of an investigation ontology for viral pathogens in important natural hosts and insect vectors by using Protégé and seven-step method. The ontology normalized the concepts, the attributes and the relationships in related data collections, solved the problems of polysemy and inconsistent terminology caused by different data sources, and realized standardized data storing and multidisciplinary knowledge sharing. In addition, based on the ontology and Jena API, we realize comprehensive applications, such as ontology interaction, terminology query and semantic query, which can meet users＇ needs more accurately than traditional keywords query. We also discussed the ontology＇s effect on automatic text mining for the relationships among various viral pathogens, natural hosts, insect vectors, geographic areas and biomes. Construction and application of the ontology will provide a supporting platform for orderly organization and effective use of the epidemiological investigation resources.

关 键 词：本体 病毒分类 流行病学调查 语义查询 情报监测 

分 类 号：G250.7[文化科学—图书馆学]