Semantic Web Dog Food

Presented at: 4th European Semantic Web Conference (ESWC2007)

by Rafael Liberato Roberto, Sergio Roberto da Silva

The growing need for content customization in websites has fostered the development of systems which try to identify the users' navigation patterns. One way of doing this is means of log files analysis. However, this solution does not identify the semantic intention behind the user navigation. This paper provides an approach to incorporating semantic knowledge to the process of identifying users' intentions in the navigation of a website with semantic support. The capture of the users' intentions is achieved by the semantic enrichment of log files and the use of an approach that takes into account the linguistic and cognitive aspects of the development of the users' model of the website.

Keywords: adaptive websites, semantic portals, user model, website personalization

Resource URI on the dog food server: http://data.semanticweb.org/conference/eswc/2007/paper-318

Explore this resource elsewhere:

• on Snorql
• on Sindice
• on dotAC Explorer