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Dynamic Linking and Personalization on the Web using Linked Open Data
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DOI：10.4018/jswis.2013040102.png)
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摘要
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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.
Keyword:
Adaptive Hypermedia
Linked Open Data
Personalization
Semantic Annotation
Semantic Hyperlinks
Semantic Web
Semantic Web Browser
User Modeling
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期刊
I
IF:
5.6
论文数:
471
被引数:
914
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