青岛大学学报（自然科学版）2017，Vol.30Issue(1)：60-65,6.DOI:10.3969/j.issn.1006-1037.2017.02.13
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
摘要
Abstract
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.关键词
数据集成方法/粮食安全领域本体/Karma建模/RDF数据应用/粮食安全数据管理系统Key words
data integration approach/food security ontology/Karma modeling/RDF data application/Food Security Data Management System (FSDMS)分类
信息技术与安全科学引用本文复制引用
云红艳,贺英,郭振波,井文英..基于本体和Karma建模的数据集成研究与应用[J].青岛大学学报（自然科学版）,2017,30(1):60-65,6.基金项目
国家重点研发计划"云计算和大数据"专项数据的融合、开放共享技术与平台(批准号:2016YFB1001103)资助. （批准号:2016YFB1001103）
