Ontologies, taxonomies, thesauri:learning from texts

Brewster, Christopher and Wilks, Yorick (2004). Ontologies, taxonomies, thesauri:learning from texts. IN: Proceedings of the Use of Computational Linguistics in the Extraction of Keyword Information from Digital Library Content Workshop. Deegan, Marilyn (ed.) UNSPECIFIED.

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.

Divisions: Aston Business School
Aston Business School > Operations & Information Management
Event Title: The Keyword Project: Unlocking Content through Computational Linguistics
Event Type: Other
Event Dates: 2004-02-05 - 2004-02-06
Uncontrolled Keywords: ontologies,knowledge,text corpora,automated natural language,construction of ontologies,associating terms,constructing hierarchies,labelling relations,data-sparsity
Published Date: 2004-02
Authors: Brewster, Christopher
Wilks, Yorick

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