Ontologies, taxonomies, thesauri: learning from texts

Christopher Brewster, Yorick Wilks

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The use of ontologies as representations of knowledge is widespread but their construction, until recently, has been entirely manual. We argue in this paper for the use of text corpora and automated natural language processing methods for the construction of ontologies. We delineate the challenges and present criteria for the selection of appropriate methods. We distinguish three ma jor steps in ontology building: associating terms, constructing hierarchies and labelling relations. A number of methods are presented for these purposes but we conclude that the issue of data-sparsity still is a ma jor challenge. We argue for the use of resources external tot he domain specific corpus.
Original languageEnglish
Title of host publicationProceedings of the Use of Computational Linguistics in the Extraction of Keyword Information from Digital Library Content Workshop
EditorsMarilyn Deegan
Publication statusPublished - Feb 2004
EventThe Keyword Project: Unlocking Content through Computational Linguistics - London , United Kingdom
Duration: 5 Feb 20046 Feb 2004

Conference

ConferenceThe Keyword Project: Unlocking Content through Computational Linguistics
CountryUnited Kingdom
CityLondon
Period5/02/046/02/04

Keywords

  • ontologies
  • knowledge
  • text corpora
  • automated natural language
  • construction of ontologies
  • associating terms
  • constructing hierarchies
  • labelling relations
  • data-sparsity

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