Data driven ontology evaluation

Christopher Brewster, Harith Alani, Srinandan Dasmahapatra, Yorick Wilks

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The evaluation of ontologies is vital for the growth of the Semantic Web. We consider a number of problems in evaluating a knowledge artifact like an ontology. We propose in this paper that one approach to ontology evaluation should be corpus or data driven. A corpus is the most accessible form of knowledge and its use allows a measure to be derived of the ‘fit’ between an ontology and a domain of knowledge. We consider a number of methods for measuring this ‘fit’ and propose a measure to evaluate structural fit, and a probabilistic approach to identifying the best ontology.
Original languageEnglish
Title of host publication[LREC 2004 Proceedings]
Pages641-644
Number of pages4
Publication statusPublished - 2004
Event4th International Conference on Language Resources and Evaluation - Lisbon , Portugal
Duration: 24 May 200430 May 2004

Conference

Conference4th International Conference on Language Resources and Evaluation
CountryPortugal
CityLisbon
Period24/05/0430/05/04

Keywords

  • evaluation
  • ontologies
  • Semantic Web
  • knowledge artifact
  • ontology
  • ontology evaluation

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