An Empirical Study on Harmonizing Classification Precision usin IE Patterns
Web pages are conventionally represented by the words found within the contents for classification purpose. However. word-based web page representation suffers several limitations such as synonymy and homonymy. Motivated by the limitations of word-based representation, we explore the potential of representing web pages using information extraction patterns, in addition to words that are identified within the web contents. In this paper, we share the results as well as the findings learned from our experiments. Our empirical study conducted using WebKB dataset indicates that the addition of information extraction patterns in web page representation helps to improve the classification precision, especially in the categories which have much diversified web content.
web classification web mining information retrieval information extraction
Lay-Ki Soon Kyu-Baek Hwang Sang Ho Lee
Faculty of Information Technology Multimedia University, Cyberjaya Selangor, Malaysia Department of Computing Soongsil University Seoul, Korea
国际会议
成都
英文
171-176
2010-06-23（万方平台首次上网日期，不代表论文的发表时间）