Dynamic Linking and Personalization on the Web using Linked Open Data-Reference-Cited by-同舟云学术

Dynamic Linking and Personalization on the Web using Linked Open Data

Published:2013-04 Issue:2 Volume:9 Page:31-61
ISSN:1552-6283
Container-title:International Journal on Semantic Web and Information Systems
language:en
Short-container-title:

Author:

Şah Melike¹,Hall Wendy²

Affiliation:

1. Centre for Next Generation Localisation, Knowledge and Data Engineering Group, Trinity College Dublin, Dublin, Ireland

2. Department of Web and Internet Science, School of Electronics and Computer Science, University of Southampton, Southampton, UK

Abstract

This paper presents a novel Semantic Web browser, called SemWeB. SemWeB supports Web browsing using Linked Open Data and personalization. This is the first time a Semantic Web browser combines the advances in Adaptive Hypermedia (i.e. personalization) and Linked Open Data. In particular, users are provided with a personalized and semantically rich Web browsing experience. For example, SemWeB supplies goal-based adaptive information retrieval from the LOD, adaptive link recommendation using a novel semantic relatedness measure and adaptive content creation. A user based study was used to assess the value of LOD-based hyperlinks and personally relevant content compared with a standard Web browser (Firefox). Results showed that users were able to browse and view more relevant information, as well as, value significance of LOD-based hyperlinks and personalized content in comparison to a standard Web browser.

Publisher

IGI Global

Subject

Computer Networks and Communications,Information Systems

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