Paper Info
Title
Enhancing Navigability In Websites Built Using Web Content Management Systems
Abstract
Websites built using Web Content Management Systems (WCMSs) usually provide their users with three types of access structures to surf their contents: indexes of categories, breadcrumb trails, and sitemaps. In addition, to find contents of his/her interest, a user can perform more or less advanced full-text searches. In this paper we propose an automatic approach to extend the navigation structure of websites developed using WCMSs with Semantic Navigation Maps (SNMs), a complementary navigation structure that enables linking and navigating contents based on their lexical similarity. The approach uses an information retrieval technique (namely, Latent Semantic Indexing) to identify lexical similarities between textual contents, and a fuzzy clustering algorithm to form groups of similar web pages. For each page of the website, a set of navigation links towards pages showing similar content and a measure of such similarity is provided. The paper presents the approach to generate SNMs, an implementation for the Joomla open source WCMS, and the results of an empirical evaluation involving two real world websites built using this WCMS.
Year
DOI
Venue
2014
10.1142/S0218194014500193
INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING
Keywords
Field
DocType
Website navigation structure, website navigability, Web systems evolution, Web content management systems (WCMSs), Semantic Navigation Maps (SNMs), Latent Semantic Indexing (LSI), clustering techniques
Lexical similarity,Fuzzy clustering,World Wide Web,Semantic Web Stack,Semantic navigation,Information retrieval,Web page,Computer science,Navigability,Web content,Management system
Journal
Volume
Issue
ISSN
24
3
0218-1940
Citations 
PageRank 
References 
2
0.49
25
Authors
3
Name
Order
Citations
PageRank
Damiano Distante129530.04
Michele Risi240340.98
Giuseppe Scanniello388377.10