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就档案计算机检索系统而言,光有先进的机器和软件是不够的,还必须有高质量的数据。有了高质量的数据,检索系统才能走上良性循环的轨道。因此,加强档案数据质量的管理是提高检索效率的关键。那么影响数据质量的主要原因有哪些呢? (1)主题分析及标引不准确。例如,一份综合性的文件,里面讲到了五个主要方面的问题,主题分析结果却漏掉两个主要问题,又多出一个不重要的问题。由于漏标或错标,造成漏检或误检。
As far as archival computer retrieval systems are concerned, it is not enough to have advanced machines and software and high-quality data is required. With high-quality data, the search system can embark on a virtuous cycle. Therefore, strengthening the management of the quality of archives data is the key to improve the retrieval efficiency. So what are the main factors that affect data quality? (1) Thematic analysis and indexing are not accurate. For example, there is a comprehensive paper covering five major aspects. The thematic analysis missed two main problems and one more unimportant one. Due to missing label or wrong label, resulting in missed inspection or false detection.