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

机译:基于Web页面分类/可视化及其应用于信息检索的正式概念分析

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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!$MM=2GB), by using Python, which is an object-oriented programming language, Application Program Interface (API), and one of the GUI libraries, Tkinter. Through the subjective evaluation and sign test with seven subjects, it is confirmed that search@once is helpful to understand the overview of the retrieved results and to find new keywords for refining the results.
机译:由于其检索到的结果作为排序列表,网络用户需要花费大量时间来处理Web搜索引擎。为了减少用户的负载,提出了提供结构良好的输出作为线图的“搜索@一次”。建议的系统采用正式的概念分析来对网页分类,并可视化网页的晶格结构和关键字作为线图。该系统在计算机上实现(CPU = 2.83GHz!$ MM = 2GB),通过使用Python,该Python是面向对象的编程语言,应用程序接口(API)以及GUI库TKinter之一。通过具有七个主题的主观评估和符号测试,确认搜索@一次有助于了解检索到的结果的概述,并找到新的关键字以改进结果。

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