摘要
大数据环境下数据库的结构、管理对象呈现出多样化、异构化等特点,数据库处理对象的变化使数据检索面临新挑战,索引是实现数据库高效检索的有效工具,数据库索引性能提升对于应对数据库处理对象复杂化具有重要意义。运用文献计量学和内容分析法,对国内外数据库索引编制相关研究总结、归纳,将国内外数据库索引发展历程划分为四个阶段,并分析各阶段产生的背景,从理论、技术等角度分析各阶段代表性研究。根据大数据环境特点和数据库索引发展历程,归纳出数据库索引编制研究的趋势是索引编制对象多样化、索引内容深入化、索引技术智能化、索引呈现可视化等。
The features of database structure and database object are becoming more various and complex in the era of big data, which made database retrieval more challenging. Indexing is an efficient way to improve the database retrieval. By using bibliometrics and content analysis method and combined with correlational research, this paper divided the development of database index into four stages. It analyses the background and lists the representative viewpoints in terms of theory and technology in each stage. It then summarizes the trend of the research of database index compilation, and points the features, namely, diversity, in-depth, intelligent and visualization.
出处
《图书馆杂志》
CSSCI
北大核心
2016年第3期60-67,共8页
Library Journal
关键词
数据库索引
数据库检索
索引编制
Database index
Database retrieval
Index compilation
