Semantic Map Based Web Search Result Visualization

QSpace/Manakin Repository

Semantic Map Based Web Search Result Visualization

Show full item record


Title: Semantic Map Based Web Search Result Visualization
Author: Hamdi, Mohamed Salah
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.
URI: http://dx.doi.org/10.1109/IV.2007.99
http://hdl.handle.net/10576/10574
Date: 2007-07-04

Files in this item

Files Size Format View Description
Semantic Map.pdf 294.1Kb PDF View/Open Semantic Map Based Web Search Result Visualization

This item appears in the following Collection(s)

Show full item record

Search QSpace


Advanced Search

Browse

My Account