Techniques for automated taxonomy building: towards ontologies for knowledge management

Christopher A. Brewster

Research output: Chapter in Book/Published conference outputChapter


Ontologies have become widely accepted as the main method for representing knowledge in Knowledge Management (KM) applica-tions. Given the continuous and rapid change and dynamic nature of knowledge in all fields, automated methods for construct-ing ontologies are of great importance. All ontologies or taxonomies currently in use have been hand built and require consider-able manpower to keep up to date. Taxono-mies are less logically rigorous than ontolo-gies, and in this paper we consider the re-quirements for a system which automatically constructed taxonomies. There are a number of potentially useful methods for construct-ing hierarchically organised concepts from a collection of texts and there are a number of automatic methods which permit one to as-sociate one word with another. The impor-tant issue for the successful development of this research area is to identify techniques for labelling the relation between two candi-date terms, if one exists. We consider a number of possible approaches and argue that the majority are unsuitable for our re-quirements.
Original languageEnglish
Title of host publication[Proceedings of the 5th Annual CLUK Research Colloquium]
Publication statusPublished - 2002
Event5th Annual CLUK Research Colloquium - Leeds, United Kingdom
Duration: 8 Jan 20029 Jan 2002


Conference5th Annual CLUK Research Colloquium
Country/TerritoryUnited Kingdom


  • ontologies
  • knowledge management applications
  • knowledge management
  • taxonomies


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