Improving Web Sites with Web Usage Mining - Web Content Mining and Semantic Analysis
With the emergence of the World Wide Web, Web sites have
become a key communication channel for organizations. In this context,
analyzing and improvingWeb communication is essential to better satisfy
the objectives of the target audience. Web communication analysis is
traditionnally performed by Web analytics software, which produce long
lists of audience metrics. These metrics contain little semantics and are
too detailed to be exploited by organization managers and chief editors,
who need summarized and conceptual information to take decisions. Our
solution to obtain such conceptual metrics is to analyze the content of the
Web pages output by the Web server. In this paper, we ¯rst present a list
of methods that we conceived to mine the output Web pages. Then, we
explain how term weights in these pages can be used as audience metrics,
and how they can be aggregated using OLAP tools to obtain concept-
based metrics. Finally, we present the concept-based metrics that we
obtained with our prototype WASA and SQL Server OLAP tools.
NORGUET Jean-Pierre;
ZIMANYI Esteban;
STEINBERGER Ralf;
2006-10-03
Springer
JRC31127
https://publications.jrc.ec.europa.eu/repository/handle/JRC31127,
10.1007/11611257_41,
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