WISE-2005 tutorial: web content mining

  • Authors:
  • Bing Liu

  • Affiliations:
  • Department of Computer Science, University of Illinois at Chicago, Chicago, IL

  • Venue:
  • WISE'05 Proceedings of the 6th international conference on Web Information Systems Engineering
  • Year:
  • 2005

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Abstract

Web mining aims to develop a new generation of techniques to effectively mine useful information or knowledge from the Web. It consists of Web usage mining, Web structure mining, and Web content mining. Web usage mining refers to the discovery of user access patterns from Web usage logs. Web structure mining tries to discover useful knowledge from the structure of Web hyperlinks. Web content mining aims to extract and mine useful information or knowledge from Web page contents. This tutorial focuses on Web Content Mining. In the past few years, there was a rapid expansion of activities in this area. In this tutorial, I will introduce the main web content mining tasks and problems and state-of-the-art techniques for dealing with them. All parts of the tutorial have a mix of research and industry flavor, addressing seminal research concepts and looking at the technology from an industry angle.