基于计算机视觉的互联网论坛网络抓取

Eric C. Dallmeier
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引用次数: 3

摘要

随着网站上可用的数据量的增加,需要将这些数据从人类可理解的格式(视觉表示)转换为计算机可理解的格式(例如数据库中的条目)。过去二十年中发布的解决网络抓取的方法都有一个缺点,即它们都在一定程度上依赖于底层超文本标记语言(HTML)或层叠样式表(CSS)的结构和存在。为了减少这种依赖,并转向更人性化地理解网站,这篇短文提出了一个科学项目,提出了一种仅基于给定网站的视觉表示的网络抓取方法。为此,本文考虑了文档布局分析和光学字符识别(OCR)领域的现有方法。这篇短文为所涉及的科学领域提供了相关的背景知识,并提出了一种方法,根据该方法可以在进一步的工作中实施和测试所建议的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computer Vision-based Web Scraping for Internet Forums
With the amount of data available on websites the need to transform this data from a human-understandable format, the visual representation, to a computer-understandable format, e.g. as entries in a database, rises. The approaches to solving web scraping that were published in the last two decades have the drawback that they all to a certain degree rely on the structure and existence of the underlying Hypertext Markup Language (HTML) or Cascading Style Sheets (CSS). To reduce this dependency and move to understanding websites more human-like, this short paper presents a scientific project that proposes a web scraping approach based solely on the visual representation of a given website. For this purpose existing approaches from the domain of Document Layout Analysis and Optical Character Recognition (OCR) are taken into concern. This short paper provides relevant background knowledge to the involved fields of science and proposes a methodology along which the suggested approach can be implemented and tested in further work.
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