SemWeB Semantic Web Browser - Improving Browsing Experience With Semantic and Personalized Information and Hyperlinks

Imagine a Web browser that can understand the context of a Web page and recommends related semantic hyperlinks in any Web domain. In addition, imagine this browser also understands one's browsing needs and personalizes information for the user. The aim of the research is to achieve this in open Web environment using Semantic Web technologies and adaptive hypermedia techniques. This paper discusses a novel Semantic Web browser, SemWeB, which utilizes linked data for context-based hyperlink recommendation and uses a behavior-based and an ontology-driven user modeling architecture for personalization on Web documents. The aim of this research is to bring the gap between the technology and user needs using Semantic Web technologies in Web browsing.