Natural Language Processing and Knowledge Organisation Systems as an Aid to Retrieval

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This paper discusses research that employs methods from Natural Language Processing (NLP) in exploiting the intellectual resources of Knowledge Organisation Systems (KOS), particularly in the retrieval of information. A technique for the disambiguation of homographs and nominal compounds in free text, where these are known ambiguous terms in the KOS itself, is described. The use of Roget's Thesaurus as an intermediary in the process is also reported. A short review of the relevant literature in the field is given. Design considerations, results and conclusions are presented from the implementation of a prototype system. The linguistic techniques are applied at two complementary levels, namely on a free text string used as an entry point to the KOS, and on the underlying controlled vocabulary itself.
Original languageEnglish
Title of host publicationKnowledge Organization and the Global Information Society
Subtitle of host publicationProceedings of the Eighth International ISKO Conference 13-16 July 2004 London, UK
Place of PublicationGermany
PublisherErgon Verlag
Number of pages6
ISBN (Print)3-89913-357-9
Publication statusPublished - 2004

Publication series

NameAdvances in Knowledge Organization
PublisherErgon Verlag
ISSN (Print)0938-5495


  • Natural Language Processing
  • NLP
  • Knowledge Organisation Systems
  • KOS
  • information retrieval


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