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Author: John M. Pierre
Article title: On the Automated Classification of Web Sites
Publ. type: Article
Volume: 6
Article No: 1
Language: English
Abstract [en]: 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.
Publisher: Linköping University Electronic Press
Year: 2001
Available: 2001-03-10
No. of pages: 12
Series: Linköping Electronic Articles in Computer and Information Science
ISSN: 1401-9841
Note: In ETAI area "The Semantic Web 2001-02-20

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Last updated: 2017-02-21