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Formal concept analysis based web pages classification/visualization and their application to information retrieval

机译:基于形式概念分析的网页分类/可视化及其在信息检索中的应用

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The net users are required a lot of time to treat with web search engines due to their retrieved results as ranking lists. In order to reduce load of users, ‘search@once’ that provides well-structured outputs as line-diagram, is proposed. The proposed system employs formal concept analysis to classify web pages and visualize the lattice structure of web pages and keywords as line diagram. This system is implemented on the computer (CPU=2.83GHz!$MM=2GB), by using Python, which is an object-oriented programming language, Application Program Interface (API), and one of the GUI libraries, Tkinter. Through the subjective evaluation and sign test with seven subjects, it is confirmed that search@once is helpful to understand the overview of the retrieved results and to find new keywords for refining the results.
机译:净用户由于需要将其检索到的结果作为排名列表,因此需要大量时间来使用网络搜索引擎。为了减轻用户的负担,建议使用“ search @ once”以线图形式提供结构良好的输出。提出的系统采用形式概念分析对网页进行分类,并将网页和关键词的网格结构可视化为线形图。通过使用Python(它是一种面向对象的编程语言,应用程序接口(API)和GUI库之一Tkinter)在计算机(CPU = 2.83GHz!$ MM = 2GB)上实现此系统。通过对七个主题进行主观评估和符号测试,可以确认search @ once有助于理解检索到的结果的概述并找到用于完善结果的新关键字。

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