1) Full text database evaluation
全文数据库评价
4) full-text database
全文数据库
1.
Discussion on self-built full-text database——"China Jun Porcelain full-text database" as an example;
自建全文数据库探讨——以《中国钧瓷全文数据库》为例
2.
Design of B/S Standard Full-Text Database and Verification Technology;
B/S结构标准全文数据库设计与验证技术
3.
Talking about the construction of the full-text database of dissertations in universities;
谈高校学位论文全文数据库的建设
5) full text database
全文数据库
1.
Present status and the suggestions about the domestic ETD full text databases construction;
我国数字化学位论文全文数据库建设的现状与建议
2.
Through comparison and analysis of the two ways of establishing electronic thesis and dissertation full text database, the paper summarized that the method based on OAI protocol is a good and low cost one in distributed environment.
介绍了OAI协议的内容、发展和应用 ,讨论分析了将OAI协议应用在学位论文全文数据库建设中的可行性 。
3.
The full text database computer system was formed by TRS, based on the analysis of the knowledge and literature information from the foundation of Guizhou Agricultural Sciences.
通过对《贵州农业科学》自创刊以来的知识文献信息进行分析,利用TRS全文数据库平台建立了其全文数据库检索系统。
6) full-text databases
全文数据库
1.
The retrieval method and skill for full-text databases of Chinese periodicals;
中文期刊全文数据库检索方法与技巧
2.
This paper makes a comparative study of three Chinese journal full-text databases,China National Knowledge Infrastructure s China Academic Journals(CAJ),Wanfang Data s China Online Journals(COJ),VIP Information s China Scientific Journal Database (CSJD),from different perspectives and is intended to understand their characteristics and their search advantages for a better employment of them.
对清华同方的中国期刊全文数据库、万方的数字化期刊全文数据库、维普的中文科技期刊全文数据库从多个方面进行比较分析,以便了解他们的特点、掌握检索技巧,更好地选择、利用这些数据库。
3.
Chinese journal full-text databases are important resource of Chinese journal documents\' supply,there are several similar Chinese journal full-text databases,none of them can cover all Chinese journals,lack of volumes and lack of numbers are very common,and source journals are unsteady.
中文期刊全文数据库是中文期刊文献保障的主要资源,但现有的中文期刊全文库存在多库并存、重复收录、查全困难,期刊种数覆盖不全,入库期刊缺年、缺期,来源期刊不稳定等问题。
补充资料:数据质量评价
数据质量评价 data quality evaluation
对数据质量进行评估的方法和过程。常用的评价方法有:演绎推算、内部验证、与原始资料(或更高精度的独立原始资料)对比、独立抽样检查、多边形叠加检查、有效值检查等。经检查应对每个质量元素进行说明,并给出总的评价,最后形成数据质量评价报告。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
参考词条