SemWeB Semantic Web Browser – Improving Browsing Experience with Semantic and Personalized Information and Hyperlinks
Sah, Melike, Hall, Wendy and De Roure, David (2009) SemWeB Semantic Web Browser – Improving Browsing Experience with Semantic and Personalized Information and Hyperlinks. At InterFace 2009: 1st National Symposium for Humanities and Technology
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Description/Abstract
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 your browsing needs and personalizes information for you. The aim of our research is to achieve this in open Web environment using Semantic Web technologies and adaptive hypermedia techniques. In this paper, we discuss 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.
| Item Type: | Conference or Workshop Item (Speech) |
|---|---|
| Keywords: | Linked data Semantic Web User Modelling Semantic Annotation Personalization Natural Language Processing |
| Divisions: | Faculty of Physical and Applied Science > Electronics and Computer Science |
| Item ID: | 267570 |
| Date Deposited: | 15 Jun 2009 13:48 |
| Last Modified: | 01 Mar 2012 11:52 |
| Contributors: | Sah, Melike (Author) Hall, Wendy (Author) De Roure, David (Author) |
| Date: | 2009 |
| Status: | Published |
| Further Information: | Google Scholar |
| URI: | http://eprints.soton.ac.uk/id/eprint/267570 |
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