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RDFa2: Lightweight Semantic Enrichment for Hypertext Content

  • Xi Bai
  • Ewan Klein
  • Dave Robertson
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7185)

Abstract

RDFa is a syntactic format that allows RDF triples to be integrated into hypertext content of HTML/XHTML documents. Although a growing number of methods or tools have been designed attempting at generating or digesting RDFa, comparatively little work has been carried out on finding a generic solution for publishing existing RDF data sets with the RDFa serialisation format. This paper proposes a generic and lightweight approach to generating semantically-enriched hypertext content by embedding RDF triples derived from diverse provenances in terms of a concept of topic nodes which will be automatically recommended by our discovery algorithm. RDFa2 is a proof-of-concept implementation for our approach and works as an online platform assisting Web content publishers in semi-automatically generating, personalising and curating pages with RDFa. RDFa2 has been introduced and employed by students in a master level course and the experimental results as well as additional case studies indicate the validity of this approach to generating triple-embedded Web documents such as online profiles and vocabularies with little user intervention.

Keywords

Topic Tree Link Open Data Link Open Data Cloud Hash Tree Topic Node 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Xi Bai
    • 1
  • Ewan Klein
    • 1
  • Dave Robertson
    • 1
  1. 1.School of InformaticsUniversity of EdinburghUK

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