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Dynamic Linking and Personalization on the Web using Linked Open Data

Author

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  • Melike Şah

    (Centre for Next Generation Localisation, Knowledge and Data Engineering Group, Trinity College Dublin, Dublin, Ireland)

  • Wendy Hall

    (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.

Suggested Citation

  • Melike Şah & Wendy Hall, 2013. "Dynamic Linking and Personalization on the Web using Linked Open Data," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 9(2), pages 31-61, April.
    • Handle: RePEc:igg:jswis0:v:9:y:2013:i:2:p:31-61
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