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Knowledge-Driven Hyperlinks: Linking in the Wild

  • Conference paper
Adaptive Hypermedia and Adaptive Web-Based Systems (AH 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4018))

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Abstract

Since Ted Nelson coined the term “Hypertext”, there has been extensive research on non-linear documents. With the enormous success of the Web, non-linear documents have become an important part of our daily life activities. However, the underlying hypertext infrastructure of the Web still lacks many features that Hypertext pioneers envisioned. With advances in the Semantic Web, we can address and improve some of these limitations. In this paper, we discuss some of these limitations, developments in Semantic Web technologies and present a system – COHSE – that dynamically links Web pages. We conclude with remarks on future directions for semantics-based linking.

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Author information

Authors and Affiliations

  1. University of Manchester, UK

    Sean Bechhofer, Yeliz Yesilada & Carole Goble

  2. Sun Microsystems Laboratories,  

    Bernard Horan

Authors
  1. Sean Bechhofer
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  2. Yeliz Yesilada
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  3. Bernard Horan
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  4. Carole Goble
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Editor information

Editors and Affiliations

  1. Knowledge and Data Engineering Group, Trinity College Dublin, Dublin, Ireland

    Vincent P. Wade

  2. School of Computer and Information Science, University of South Australia, Australia

    Helen Ashman

  3. Adaptive Information Cluster, School of Computer Science & Informatics, University College Dublin, Ireland

    Barry Smyth

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© 2006 Springer-Verlag Berlin Heidelberg

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Bechhofer, S., Yesilada, Y., Horan, B., Goble, C. (2006). Knowledge-Driven Hyperlinks: Linking in the Wild. In: Wade, V.P., Ashman, H., Smyth, B. (eds) Adaptive Hypermedia and Adaptive Web-Based Systems. AH 2006. Lecture Notes in Computer Science, vol 4018. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11768012_1

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  • DOI: https://doi.org/10.1007/11768012_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34696-8

  • Online ISBN: 978-3-540-34697-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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