Semantic Map Based Web Search Result Visualization

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Author Hamdi, Mohamed Salah en_US
Available date 2009-12-30T05:44:44Z en_US
Publication Date 2007-07-04 en_US
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 2007 en_US
URI http://dx.doi.org/10.1109/IV.2007.99 en_US
URI http://hdl.handle.net/10576/10574 en_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 en en_US
Publisher IEEE en
Subject Semantic Map en_US
Subject Web Search en_US
Title Semantic Map Based Web Search Result Visualization en_US
Type Conference Paper en_US


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