基于本体的农作物种质资源数据集成研究  

Crop Germplasm Resources Data Integration Based on Ontology

作　　者：陈丽娜[1,2] 方沩[1] 司海平[3] 曹永生[1] 

机构地区：[1]中国农业科学院作物科学研究所,北京100081 [2]商丘师范学院计算机与信息技术学院,河南商丘476000 [3]河南农业大学信息与管理科学学院,郑州450002

出　　处：《中国农业科技导报》2016年第3期82-88,共7页Journal of Agricultural Science and Technology

基　　金：国家农作物种质资源平台项目(2005DKA21001);国家星火计划项目(2014GA750011)资助

摘　　要：随着国家农作物种质资源平台服务的进一步加强,平台数据与其他相关数据源的集成共享,成为当前迫切需要解决的问题。提出了元数据和两级本体相结合的语义元数据集成解决方案:首先建立农作物种质资源全局本体;然后抽取各分布数据库的元数据,按照统一标准集成到一个元数据库中,同时,依据不同数据源建立各局部本体;最后建立全局本体和元数据库的映射、局部本体和各数据源的映射,形成语义元数据。构建了农作物种质资源集成框架,并进行了集成系统设计。实验结果表明:该语义元数据方案能解决数据的语义描述和语义异构问题,可最终实现系统的集成;局部本体使得查询更具智能性,可提高查全、查准率,有利于提高服务质量。With further strengthening of national crop germplasm resources service platform,integration and sharing between platform data and other related data resources have become an urgent problem to be solved. This paper proposed a method named semantic metadata combining metadata and two-level ontology to implement system integration. Firstly,crop germplasm resources global ontology was established,then metadata in distributed database were extracted and centralized to one metabase in accordance with uniform standards. Meanwhile,each local ontology was established according to different data source. Finally,mapping was done between global ontology and metadata base,also between each local ontology and its data source,so as to form semantic metadata. Crop germplasm resources integrated framework was constructed,and integrated system was implemented. The experimental results showed that semantic metadata method could solve the problem both in semantic description and semantic data heterogeneity,and can ultimately achieve system integration. The local ontology makes query more intelligent,complete and precise,thus to improve service quality.

关 键 词：农作物种质资源 元数据 本体 语义元数据 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] S126[自动化与计算机技术—计算机科学与技术]