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.
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© 2005 Springer-Verlag Berlin Heidelberg
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Liu, B. (2005). WISE-2005 Tutorial: Web Content Mining. In: Ngu, A.H.H., Kitsuregawa, M., Neuhold, E.J., Chung, JY., Sheng, Q.Z. (eds) Web Information Systems Engineering – WISE 2005. WISE 2005. Lecture Notes in Computer Science, vol 3806. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11581062_84
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DOI: https://doi.org/10.1007/11581062_84
Publisher Name: Springer, Berlin, Heidelberg
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