title: Extracting knowledge from the World Wide Web.
abstract: The World Wide Web provides a unprecedented opportunity to automatically analyze a large sample of interests and activity in the world. We discuss methods for extracting knowledge from the web by randomly sampling and analyzing hosts and pages, and by analyzing the link structure of the web and how links accumulate over time. A variety of interesting and valuable information can be extracted, such as the distribution of web pages over domains, the distribution of interest in different areas, communities related to different topics, the nature of competition in different categories of sites, and the degree of communication between different communities or countries.
authors.affiliation: Google, Inc., 2400 Bayshore Parkway, Mountain View, CA 94043, USA. monika@google.com
authors.forename: Monika
authors.initials: M
authors.lastname: Henzinger
authors.forename: Steve
authors.initials: S
authors.lastname: Lawrence
mesh_terms: D001185:Artificial Intelligence; D016251:CD-ROM; D007255:Information Services; D020407:Internet / Q000639:trends; D016571:Neural Networks, Computer