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Natural Language System for Terminological Information Retrieval

  • Gerardo Sierra
  • John McNaught
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2588)

Abstract

The purpose of any information retrieval (IR) system in response to a query is to provide the user with the data that satisfy his information need. In order to design a user friendly onomasiological system (one to find a word from a description of a concept), we firstly must consider the searching process, i.e. query and matching. This paper is organised in two broad parts. The first part situates the general methodology for IR in relation to the particular problem of onomasiological searching. The second part discusses an experiment in onomasiological searching carried out on dictionaries to validate design principles for an onomasiological search system.

Keywords

Information Retrieval Target Word Dictionary Entry Extended Search Information Retrieval System 
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 2003

Authors and Affiliations

  • Gerardo Sierra
    • 1
  • John McNaught
    • 2
  1. 1.Engineering InstituteUNAM, Ciudad UniversitariaMexico
  2. 2.Department of ComputationUMISTUK

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