Surfing the web by site

ABSTRACT

We provide a system for surfing the web at a high level of abstraction, which is an analogy of the web browser, but which displays entire sites at a time. It allows a principled investigation of what is present, based on an overview of all available information. We show a site's relation to other sites, the broad nature of the information contained and how it is structured, and how it has changed over time. Our current system maintains a continuously updated archive of 40 million sites representing 1.9 billion web pages, and enables real-time navigation through the sea of web sites.

REFERENCES

• 1: Alexa. http://www.alexa.com.
• 2: Stephen Dill , Nadav Eiron , David Gibson , Daniel Gruhl , R. Guha , Anant Jhingran , Tapas Kanungo , Sridhar Rajagopalan , Andrew Tomkins , John A. Tomlin , Jason Y. Zien, SemTag and seeker: bootstrapping the semantic web via automated semantic annotation, Proceedings of the 12th international conference on World Wide Web, May 20-24, 2003, Budapest, Hungary [doi>10.1145/775152.775178]
• 3: M. Hearst. User interfaces and visualization. In R. Baeza-Yates and B. Ribeiro-Neto (Eds.) Modern information retrieval. NY: ACM Press., 1999.
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INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Information filtering

Additional Classification:
  H. Information Systems
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.4 Hypertext/Hypermedia
          Subjects: Navigation; User issues

General Terms:
Algorithms, Experimentation, Human Factors, Measurement

Keywords:
large scale systems, novel browsing paradigms, web navigation strategies