Multilingual Access to Document Databases

Authors

  • Steven A. Pollitt University of Huddersfield
  • Geoff Ellis University of Huddersfield

DOI:

https://doi.org/10.29173/cais154

Abstract

This paper examines the reasons why approaches to facilitate document retrieval which apply AI (Artificial Intelligence) or Expert Systems techniques, relying on so-called "natural language" query statements from the end-user will result in sub-optimal solutions. It does so by reflecting on the nature of language and the fundamental problems in document retrieval.

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Published

2013-10-24

How to Cite

Pollitt, S. A., & Ellis, G. (2013). Multilingual Access to Document Databases. Proceedings of the Annual Conference of CAIS Actes Du congrès Annuel De l’ACSI. https://doi.org/10.29173/cais154

Issue

Section

Articles