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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Downloads (Pure)

Abstract

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
Pages315
Number of pages6
Volume9
ISBN (Print)3-89913-357-9
Publication statusPublished - 2004

Publication series

NameAdvances in Knowledge Organization
PublisherErgon Verlag
Volume9
ISSN (Print)0938-5495

Keywords

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

Fingerprint

Dive into the research topics of 'Natural Language Processing and Knowledge Organisation Systems as an Aid to Retrieval'. Together they form a unique fingerprint.

Cite this