This paper presents an automatic approach based on semantic clustering to enhance the navigation structure of Web sites. The approach extends the navigation structure of a Web site by introducing a set of links that enable the navigation from each page of the site to other pages showing similar or related content. The approach uses Latent Semantic Indexing to compute a dissimilarity measure between the pages of the site and a Graph-Theoretic clustering algorithm to group pages having similar or related content. The additional links connecting each page of the site to the others within the same cluster are dynamically injected into each page by using AJAX code. A prototype of a supporting tool and the results from a case study conducted to assess the feasibility of the approach are also presented

Using Semantic Clustering to Enhance the Navigation Structure of Web Sites

SCANNIELLO, GIUSEPPE;
2008

Abstract

This paper presents an automatic approach based on semantic clustering to enhance the navigation structure of Web sites. The approach extends the navigation structure of a Web site by introducing a set of links that enable the navigation from each page of the site to other pages showing similar or related content. The approach uses Latent Semantic Indexing to compute a dissimilarity measure between the pages of the site and a Graph-Theoretic clustering algorithm to group pages having similar or related content. The additional links connecting each page of the site to the others within the same cluster are dynamically injected into each page by using AJAX code. A prototype of a supporting tool and the results from a case study conducted to assess the feasibility of the approach are also presented
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11563/13934
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