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University of Hagen at CLEF 2003: Natural Language Access to the GIRT4 Data

  • Johannes Leveling
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3237)

Abstract

A natural language interface to databases allows a natural formulation of information needs, requiring little or no previous knowledge about database intrinsics or formal retrieval languages. Aiming at a full understanding of unrestricted natural language queries, the transformation into database queries and search failures caused by a vocabulary mismatch between query terms and database index terms become major problems to solve. This paper investigates methods of constructing query variants and their use in automated retrieval strategies. Performance results for an experimental setup with a GIRT4 database are presented.

Keywords

Semantic Similarity Query Term Mean Average Precision Original Query Retrieval Experiment 
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 2004

Authors and Affiliations

  • Johannes Leveling
    • 1
  1. 1.Applied Computer Science VII, Intelligent Information and Communication SystemsFernUniversität in HagenHagenGermany

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