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Semantic Autocompletion

  • Eero Hyvönen
  • Eetu Mäkelä
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4185)

Abstract

This paper generalizes the idea of traditional syntactic text autocompletion onto the semantic level. The idea is to autocomplete typed text into ontological categories instead of words in a vocabulary. The idea has been implemented and its application for semantic indexing and content-based information retrieval in multi-facet search is proposed. Four operational semantic portals on the web using the implementation are presented as application cases.

Keywords

Input Text Input String Semantic Search Search Item Facet Category 
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 2006

Authors and Affiliations

  • Eero Hyvönen
    • 1
  • Eetu Mäkelä
    • 1
  1. 1.Semantic Computing Research Group (SeCo), Helsinki University of Technology (TKK), Laboratory of Media Technology, University of Helsinki, Department of Computer Science 

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