Abstract
In the Web search process people often think that the hardest work is done by the search engines or by the directories which are entrusted with finding the Web pages. While this is partially true, a not less important part of the work is done by the user, who has to decide which page is relevant from the huge set of retrieved pages. In this paper we present a graphical visualisation tool aimed at helping users to determine the relevance of a Web page with respect to its structure. Such tool can help the user in the often tedious task of deciding which page is relevant enough to deserve a visit.
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References
C. Ahlberg and B. Shneiderman. Visual Information Seeking: Tight Coupling of Dynamic Query Filters with Starfield Displays. In Human Factors in Computing Systems. Conference Proceedings CHI’94, pages 313–317, 1994.
R. Baeza-Yates and B. Ribeiro-Neto. Modern Information Retrieval. Addison-Wesley, 1999.
S. Brin and L. Page. The Anatomy of a Large-Scale Hypertextual Web Search Engine. Computer Networks and ISDN Systems, 30(1–7):107–117, 1998.
S. K. Card, G. G. Robertson, and W. York. The Webbook and the Web Forager: an Information Workspace for the World Wide Web. In Proceedings of the Conference on Human Factors in Computing Systems CHI’96, 1996.
M. Chalmers. Using a Landscape to Represent a Corpus of Documents. In COSIT’93, 1993.
SVG Working Group. Scalable Vector Graphics (SVG) 1.1 Specification. Candidate Recommendation, 2002. http://www.w3.org/TR/2002/CR-SVG11-20020430/.
Web Services Description Working Group. Web Services Description Language (WSDL) Version 1.2. Working Draft. http://www.w3.org/TR/2002/WD-wsdl12-20020709/.
XML Protocol Working Group. SOAP Version 1.2 Part 0: Primer. Working Draft. http://www.w3.org/TR/2002/WD-soap12-part0-20020626/.
M. A. Hearst. Visualization of Term Distribution Information in Full Text Information Access. In ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), 1995.
J. Lamping and R. Rao. Laying out and Visualizing Large Trees using a Hyperbolic Space. In ACM Symposium on User Interface Software and Technology, pages 13–14, 1994.
J. D. Mackinlay, G. G. Robertson, and S. K. Card. The Perspective Wall: Detail and Context Smoothly Integrated. In CHI’91, pages 173–179, 1991.
T. M. Mann. Visualization of WWW Search Results. In DEXA Workshop, pages 264–268, 1999.
G. Robertson, J. Mackinlay, and S. Card. Cone trees: Animated 3d Visualizations of Hierarchical Information. In Conference on Human Factors in Computing Systems CHI’91, pages 189–194, 1991.
Arisem S. A. http://www.arisem.com.
B. Shneiderman. Designing the User Interface. Strategies for E.ective Human-Computer Interaction. Addison-Wesley, 1992.
J. Vegas, P. de la Fuente, and F. Crestani. A Graphical User Interface for Structured Document Retrieval. In ECIR 02, BCS-IRSG European Colloquium in Information Retrieval Research, pages 268–283, March 2002.
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Vegas, J., de la Fuente, P., Crestani, F. (2003). WebDocBall: A Graphical Visualization Tool for Web Search Results. In: Sebastiani, F. (eds) Advances in Information Retrieval. ECIR 2003. Lecture Notes in Computer Science, vol 2633. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36618-0_25
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DOI: https://doi.org/10.1007/3-540-36618-0_25
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