Techniques for Automated Taxonomy Building: Towards Ontologies for Knowledge Management
2002) Techniques for Automated Taxonomy Building: Towards Ontologies for Knowledge Management . In Proceedings CLUK Research Colloquium, Leeds, UK. (
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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.
Keywords: | Knowledge managment, ontologies, natural language processing, taxonomies |
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Subjects: | AKT Challenges > Knowledge acquisition |
ID Code: | 129 |
Deposited By: | Brewster, Christopher |
Deposited On: | 27 February 2003 |
Alternative Locations: | http://www.dcs.shef.ac.uk/~kiffer/ |
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