Communications of the ACM - Supporting community and building social capital
Data Mining for Measuring and Improving the Success of Web Sites
Data Mining and Knowledge Discovery
Using Site Semantics to Analyze, Visualize, and Support Navigation
Data Mining and Knowledge Discovery
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Model-Based Clustering and Visualization of Navigation Patterns on a Web Site
Data Mining and Knowledge Discovery
A Web-Based System to Monitor the Quality of Meta-Data in Web Portals
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
Information Systems and e-Business Management
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We propose a methodology to monitor the quality of the meta-data used to describe content in web portals. It is based on the analysis of the meta-data using statistics, visualization and data mining tools. The methodology enables the site’s editor to detect and correct problems in the description of contents, thus improving the quality of the web portal and the satisfaction of its users. We also define a general architecture for a platform to support the proposed methodology. We have implemented this platform and tested it on a Portuguese portal for management executives. The results validate the methodology proposed.