Abstract
Data on the web is gradually changing format from HTML to XML/XSLT driven by various software and hardware requirements such as interoperability and data-sharing problems between different applications/platforms, devices with vairous capabilities like cell phones, PDAs. This gradual change introduces new challenges in web page and web site classification. HTML is used for presentation of content. XML represents content in a hierarchical manner. XSLT is used to transform XML documents into different formats such as HTML, WML. There are certain drawbacks in HTML and XML classifications for classifying a web page. In this paper we propose a new classification method based on XSLT which is able to combine the advantages of HTML and XML classifications. We also introduce a web classification framework utilizing XSLT classification. Finally we show that using Naïve Bayes classifier XSLT classification outperfoms both HTML and XML classifications.
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Kurt, A., Tozal, E. (2006). A Web Classification Framework Based on XSLT. In: Shen, H.T., Li, J., Li, M., Ni, J., Wang, W. (eds) Advanced Web and Network Technologies, and Applications. APWeb 2006. Lecture Notes in Computer Science, vol 3842. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11610496_10
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DOI: https://doi.org/10.1007/11610496_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31158-4
Online ISBN: 978-3-540-32435-5
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