Signature File Methods for Text Data Bases (Computer and Information Science)

本研究发展了高效的设计和分析 文本数据库的检索方法。 它利用一个新的 方法，称为签名文件，该方法适用于归档 更新非常活跃的应用程序。该方法特别 适用于光盘。具体而言，签名文件包括 与其他检索方法进行了分析比较， 仿真以下是几种可选的签名提取方法 实施和评价，以验证分析结果，以及 集成的签名方法，其中包括文本本身 和“关键字”属性。为了表现真实 实验中，使用原型检索系统，其中存储 检索技术文章的摘要。 这个原型是 马里兰州大学的研究人员可以使用， 并对系统进行反馈 设计人员了解需要哪些功能以及系统如何 采用了 有一个巨大的和越来越多的科学 以发表的文章和报告的形式获取的知识。 这个“文本数据库”太大，无法有效使用 没有计算机辅助。 因此，研究自动 检索方法，允许有效和广泛的搜索 是最重要的科学， 实际重要性。

This research develops the design and analysis of efficient searching methods for text data bases. It utilizes a new method, called signature files, which works well for archival applications with very active updating. The method is especially suitable for optical disks. Specifically, signature files are compared with other indexing methods analytically and through simulation. Several alternative signature extraction methods are implemented and evaluated to verify analytical results, and integrated signature methods, which cover both the text itself and "keyword" attributes, are developed. To perform realistic experiments, a prototype retrieval system is used, which stores and retrieves abstracts of technical articles. This prototype is available to researchers at the University of Maryland, to assist them with literature searching and to give feedback to the system designers about what capabilities are needed and how the system is used. There is an enormous and increasing amount of scientific knowledge captured in the form of published articles and reports. This "text database" is far too large to be effectively used without computer assistance. Consequently, research on automatic retrieval methods, which allow effective and extensive searching to be done with computer systems, is of paramount scientific and practical importance.