Enhanced hypertext categorization using hyperlinks
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Web site mining: a new way to spot competitors, customers and suppliers in the world wide web
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
The connectivity sonar: detecting site functionality by structural patterns
Proceedings of the fourteenth ACM conference on Hypertext and hypermedia
Extraction of anchor-related text and its evaluation by user studies
Proceedings of the 2007 conference on Human interface: Part I
Semantic Space models for classification of consumer webpages on metadata attributes
Journal of Biomedical Informatics
SUT: Quantifying and mitigating URL typosquatting
Computer Networks: The International Journal of Computer and Telecommunications Networking
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An important issue with the Web is verification of the accuracy, currency and authenticity of the information associated with Web sites. One way to address this problem is to identify the "source" or "sponsor" of the Web site. However, source identification is non-trivial because the source of a Web site cannot always be determined by the URL or content of the site. In this paper, we propose a method for source identification that uses various types of inbound, outbound and internal interactions that arise due to hyperlinks between and within Web sites.