基于本体和Karma建模的数据集成研究与应用

Research and Application of Data Integration Based on Ontology-modeling and Karma-modeling

针对多源异构数据的集成问题,提出一种基于本体和Karma建模的数据集成方法,并应用于粮食安全领域数据的快速集成。分析粮食安全指标数据集和人口健康数据集,构建粮食安全领域本体;通过Karma建模实现粮食安全指标数据到粮食安全领域本体的语义映射,并集成发布为RDF数据;基于RDF数据,设计开发了粮食安全数据管理系统,实现了粮食安全指标数据的查询、分析对比和统计预测等功能,促进粮食安全的风险控制和安全管理;该RDF应用系统也验证了所构建粮食安全领域本体和Karma建模的正确性。

Aiming at multi-source heterogeneous data integration,this paper proposed an approach based on ontology-modeling and Karma-modeling,and applied this approach to integrating food security data.By analyzing the characteristics of food security relative datasets and domain knowledge,we extracted main concepts and relations to build food security ontology.Authors describe Karma,an ontology-based integrated toolkit that implements this approach and show how Karma can be applied to integrating data in the food security domain.Based on published RDF data,authors developed Food Security Data Management System（FSDMS）,which provided query,statistical analysis and comparison etc.functions.This RDF application system has positive effects on food security risk management;it also verifies the validity of food security ontology and Karma modeling.