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An Architecture for Emergent Semantics

  • Sven Herschel
  • Ralf Heese
  • Jens Bleiholder
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4231)

Abstract

Emergent Semantics is a new paradigm for inferring semantic meaning from implicit feedback by a sufficiently large number of users of an object retrieval system. In this paper, we introduce a universal architecture for emergent semantics using a central repository within a multi-user environment, based on solid linguistic theories.

Based on this architecture, we have implemented an information retrieval system supporting keyword queries on standard information retrieval corpora. Contrary to existing query refinement strategies, feedback on the retrieval results is incorporated directly into the actual document representations improving future retrievals.

An evaluation yields higher precision values at the standard recall levels and thus demonstrates the effectiveness of the emergent semantics approach for typical information retrieval problems.

Keywords

Query Processing Object Representation Query Term Query Expansion Vector Space Model 
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

  • Sven Herschel
    • 1
  • Ralf Heese
    • 1
  • Jens Bleiholder
    • 1
  1. 1.Humboldt-Universität zu BerlinBerlinGermany

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