Semantic Web Usage Mining by a Concept-Based Approach for Off-line Web Site Enhancements

Todays´ WUM techniques allow to perform the mining process based on lists of words, stems, and visitors´ sessions. Although, results are (generally) far from visitors´ real goals or motivations when browsing a web site. Thus, extraction of useful modifications of site organization or contents are difficult to obtain. It is needed a way to enhance the WUM process, to allow better results, closer to visitors´ real preferences and goals. It was developed a Semantic WUM process, which uses a concept-based approach to add semantics into the mining process. The solution proposed, was applied to a real web site to produce off-line enhancements of contents and structure. The method was compared with four different WUM methods. Afterwards, the quality of enhancements was evaluated using a survey to 100 subjects, proving the effectiveness of the proposal.