FODEX——从网络论坛中提取通用数据

Sebastian Pretzsch, Klemens Muthmann, A. Schill
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引用次数: 8

摘要

网络是有价值数据的巨大来源。今天,这些数据不仅由专业出版商提供,而且以用户生成内容的形式提供给每个人。这类内容的很大一部分位于网络论坛上。作为分享知识的平台,它们对每个人来说都很容易访问。然而,它们的数量之大使得很难找到针对特定主题的讨论。自动系统可以过滤并指向相关信息。不幸的是,内容以人类可读的布局呈现,不打算由自动系统处理。因此,在进行进一步的信息挖掘之前,有必要将web论坛讨论中的内容从布局中分离出来。本文介绍了一个论坛数据自动抽取系统FODEX。它从任何论坛提取数据,并将其与统一的数据模式相匹配。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FODEX -- Towards Generic Data Extraction from Web Forums
The web is a large source for valuable data. Today, this data is not only provided by professional publishers, but everyone in the form of user-generated content. A large part of such content is located in web forums. As platforms to share knowledge, they are easily accessible for everyone. However, their vast amount makes it hard to find discussions on a specific topic. Automatic systems can filter and point to relevant information. Unfortunately, the content is presented in a human-readable layout and is not intended to be processed by automatic systems. Therefore, it is necessary to separate the content in a web forum discussion from the layout before doing any further information mining. This paper presents FODEX - a system for automatic forum data extraction. It extracts data from any forum and matches it to a unified data schema.
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