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Title: On the Automated Classification of Web Sites
Authors: John M. Pierre
Series: Linköping Electronic Articles in Computer and Information Science
ISSN 1401-9841
Issue: Vol. 6 (2001), No. 001
URL: http://www.ep.liu.se/ea/cis/2001/001/

Abstract: In this paper we discuss several issues related to automated text classification of web sites. We analyze the nature of web content and metadata in relation to requirements for text features. We find that HTML metatags are a good source of text features, but are not in wide use despite their role in search engine rankings. We present an approach for targeted spidering including metadata extraction and opportunistic crawling of specific semantic hyperlinks. We describe a system for automatically classifying web sites into industry categories and present performance results based on different combinations of text features and training data. This system can serve as the basis for a generalized framework for automated metadata creation.

First posting
In ETAI area "The Semantic Web"
Original publication
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This article was first posted on the Internet as specified under "First posting", and appeared on the E-press server on the date specified under "Original publication".