A Survey on Web Content Mining and Extraction of Structured and Semistructured Data

Kshitija Pol, Nita Patil, Shreya N. Patankar, Chhaya Das
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引用次数: 49

Abstract

With the research in information retrieval and phenomenal growth of the Web, todaypsilas Websites have become a key communication and information medium for various organizations. It also offers an unprecedented opportunity and challenges to data mining. Various techniques are available to extract useful data from the web. It is very important for the users to utilize this information effectively which helps them to understand the structure of information on the Web more deeply and precisely. This paper conducts a survey of how Web content mining plays an efficient tool in extracting structured and semi structured data and mining them into useful knowledge.
随着人们对信息检索的研究和网络的飞速发展,今天的大众网站已经成为各种组织交流和信息的重要媒介。这也为数据挖掘提供了前所未有的机遇和挑战。从网络中提取有用数据的技术多种多样。有效地利用这些信息有助于用户更深入、准确地理解网络上的信息结构,这对用户来说是非常重要的。本文概述了Web内容挖掘如何成为一种有效的工具来提取结构化和半结构化数据并将其挖掘成有用的知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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