福州大学学报（自然科学版）2018，Vol.46Issue(3)：324-329,6.DOI:10.7631/issn.1000-2243.17360
基于海量异构数据索引语义查询的关键模型研究
Research on key model of index semantic query based on massive heterogeneous data
摘要
Abstract
Based on the characteristics of unstructured data, this paper makes an analysis into its hybrid query problem from the perspective of massive heterogeneous data feature model. It fully illus-trates the key technologies of unstructured data feature modeling. This paper helps to improve the speed and efficiency of data retrieval as a whole under the background of big network data.关键词
海量异构/数据模式/建模分析/查询语言Key words
massive heterogeneous/data mode/modeling analysis/query language分类
信息技术与安全科学引用本文复制引用
桑海翎,郭文忠..基于海量异构数据索引语义查询的关键模型研究[J].福州大学学报（自然科学版）,2018,46(3):324-329,6.基金项目
国家自然科学基金资助项目(61672159) （61672159）
福建省教育厅青年教师教育科研资助项目(JAT170925) （JAT170925）
