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Author Hamdi, Mohamed Salahen_US
Available date 2009-12-30T05:44:44Zen_US
Publication Date 2007-07-04en_US
Publication Name 11th International ConferenceInformation Visualization 2007
Citation Hamdi, M.S., "Semantic Map Based Web Search Result Visualization," Information Visualization, 2007. IV '07. 11th International Conference , vol., no., pp.222-227, 4-6 July 2007en_US
URI http://dx.doi.org/10.1109/IV.2007.99en_US
URI http://hdl.handle.net/10576/10574en_US
Abstract The problem of information overload has become more pressing with the emergence of the increasingly more popular Internet services. The main information retrieval mechanisms provided by the prevailing Internet Web software are based on either keyword search (e.g., Google and Yahoo) or hypertext browsing (e.g., Internet Explorer and Netscape). The research presented in this paper is aimed at providing an alternative concept-based categorization and search capability based on a combination of meta-search and self-organizing maps. Kohonen's self-organizing map is very well known as a clustering and dimension reduction tool. Clustering can be used for categorization of search results. Dimension reduction can be used for visualization and for reducing information in order to ease search.en_US
Language enen_US
Publisher IEEEen
Subject Semantic Mapen_US
Subject Web Searchen_US
Title Semantic Map Based Web Search Result Visualizationen_US
Type Conference Paperen_US


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