如何从web查询的小样本中获益?

Teodor Petrič, Teodor Petric, V. Rajkovič
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引用次数: 0

摘要

本文的基本目标是通过结合不同的软件工具,演示从小型web查询样本中检测有用想法的过程。我们的样本包含由内政部特别图书馆(以下简称SLOMI)的用户进行的网络查询。从我们的样本中提取有用想法的过程部分是由统计分析指导的,部分是由相当直观和集体描述性评估方法指导的。使用了几种丰富的可视化技术来激发创造性的数据解释。在我们的样本中,关于被查询人员及其专业兴趣领域的收集数据被实现到一个定制的同义词典和一个思维导图中,以便提取有用的想法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How to benefit from small samples of web queries?
The basic goal of this article is to demonstrate the process of detecting useful ideas from small web query samples by combining different software tools. Our sample contained web queries made by users of the Special Library of the Ministry of the Interior (hereinafter SLOMI). The process of extracting useful ideas from our sample was partially guided by statistical analysis, partially by rather intuitive and collective descriptive evaluation methods. Several rich visualisation techniques were used to stimulate creative data interpretation. The collected data on the queried persons and their areas of professional interest in our sample were implemented into a customised thesaurus and a mind map in order to extract useful ideas.
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