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WeBrowSearch: Toward Web Browser with Autonomous Search

  • Taiga Yoshida
  • Satoshi Nakamura
  • Katsumi Tanaka
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4831)

Abstract

In this paper, we propose a Web browser that has an autonomous search capability for complementary information related to a currently browsed page. The system automatically searches for pages having the complementary information, and shows a keyword map, in which each keyword is a type of hyperlink anchor. When a user moves or double clicks a keyword in the keyword map, the system enables users to navigate from the browsed page to the complementary page just as if navigating by ordinary hyperlinks. The proposed Web browser is particularly useful for navigating Web pages that are not connected by ordinary hyperlinks, to compare them.

Keywords

information retrieval visualization query-free search interactive operation 

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References

  1. 1.
    Nakamura, S., Konishi, S., Jatowt, A., Ohshima, H., Kondo, H., Tezuka, T., Oyama, S., Tanaka, K.: Trustworthiness Analysis of Web Search Results. In: ECDL. Proceedings of the 11th European Conference on Research and Advanced Technology for Digital Libraries (2007)Google Scholar
  2. 2.
    Hart, P., Graham, J.: Query-free information retrieval. IEEE Expert 12(5), 32–37 (1997)CrossRefGoogle Scholar
  3. 3.
    Henzinger, M., Chang, B.-W., Milch, B., Brin, S.: Query-Free News Search. In: WWW. Proceedings of theTwelfth International World Wide Web Conference (2003)Google Scholar
  4. 4.
    Ma, Q., Tanaka, K.: WebTelop: Dynamic tv-content augmentation by using web pages. In: Proceedings of IEEE International Conference on Multimedia and Expo (ICME) (II), pp.173–176 (2003)Google Scholar
  5. 5.
    Nadamoto, A., Tanaka, K.: A Comparable Web Browser (CWB) for Browsing and Comparing Web Pages. In: WWW. Proceedings of the 12th International World Wide Web Conference, pp. 727–735 (2003)Google Scholar
  6. 6.
    Yumoto, T., Tanaka, K.: Finding Pertinent Page-Pairs from Web Search Results. In: Fox, E.A., Neuhold, E.J., Premsmit, P., Wuwongse, V. (eds.) ICADL 2005. LNCS, vol. 3815, Springer, Heidelberg (2005)CrossRefGoogle Scholar
  7. 7.
    Yumoto, T., Tanaka, K.: Page Sets as Web Search Answers. In: Sugimoto, S., Hunter, J., Rauber, A., Morishima, A. (eds.) ICADL 2006. LNCS, vol. 4312, pp. 244–253. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  8. 8.
    Sun, J.-T., Wang, X., Shen, D., Zeng, H.-J., Chen, Z.: CWS: a comparative web search system. In: WWW. Proceedings of the 15th international conference on World Wide Web (2006)Google Scholar
  9. 9.
    Ohsawa, Y., Benson, N.E., Yachida, M.: KeyGraph: automatic indexing by co-occurrence graph based onbuilding construction metaphor, Research and Technology Advances in Digital Libraries. In: ADL 1998. Proceedings. IEEE International Forum on Volume, pp. 12–18 (1998)Google Scholar
  10. 10.
  11. 11.
    Manber, U., Smith, M., Gopal, B.: WebGlimpse - Combining Browsing and Searching. In: Proceedings of the Usenix Technical Conference (1997)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Taiga Yoshida
    • 1
  • Satoshi Nakamura
    • 1
  • Katsumi Tanaka
    • 1
  1. 1.Department of Social Informatics, Graduate School of Informatics, Kyoto University Yoshida-Honmachi, Sakyo, Kyoto 606-8501Japan

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