Extracting significant Website Key Objects: A Semantic Web mining approach |
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Authors: | Juan D. Velá squez,Luis E. Dujovne Gaston L&rsquo Huillier |
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Affiliation: | Department of Industrial Engineering, Universidad de Chile, Republica 701 - P.O. Box 8370439, Santiago, Chile |
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Abstract: | Web mining has been traditionally used in different application domains in order to enhance the content that Web users are accessing. Likewise, Website administrators are interested in finding new approaches to improve their Website content according to their users' preferences. Furthermore, the Semantic Web has been considered as an alternative to represent Web content in a way which can be used by intelligent techniques to provide the organization, meaning, and definition of Web content. In this work, we define the Website Key Object Extraction problem, whose solution is based on a Semantic Web mining approach to extract from a given Website core ontology, new relations between objects according to their Web user interests. This methodology was applied to a real Website, whose results showed that the automatic extraction of Key Objects is highly competitive against traditional surveys applied to Web users. |
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Keywords: | Website Key Objects Web user preferences Web usage mining Semantic Web mining Self Organizing Feature Maps Ontology Engineering Web Intelligence Clickstream analysis Web personalization |
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