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Using Topic Maps for Visually Exploring Various Data Sources in a Web-Based Environment

Book Chapter, was published by Eicke Godehardt and Nadeem Bhatti at 2008-08-15

This paper describes a topic map viewer, which is easy embeddable into websites.

External Link: download paper

exploration and navigation are not very widespread. Especially, if complex relations between these data are defined and the amount of data becomes bigger, an easy to use interface is necessary.
This paper describes a topic map viewer, which is easy embeddable into websites to offer none-experts an innovative way to find new and relevant information. To display even huge information spaces in a web environment, this paper describes two concepts supporting scalability are explained, namely data exchange and visualization. For the data exchange between client and server pre-fetching mechanism is introduced to load data in small chunks. Garbage collection complements this to prevent overloading of the viewer by unloading not needed topics. Furthermore the clustering concept for the visualization is used to handle the huge amount of information.

 

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Resellers can give their customers the opportunity to apply Web 3.0 technology to their web sites with topics maps-based searching, which is more suitable for single sites than Google-style navigation.

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