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Data driven ontology evaluation

Brewster, Christopher; Alani, Harith; Dasmahapatra, Srinandan and Wilks, Yorick (2004). Data driven ontology evaluation. In: International Conference on Language Resources and Evaluation (LREC 2004), 24-30 May 2004, Lisbon, Portugal.

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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.

Item Type: Conference Item
Copyright Holders: 2004 The Authors
Academic Unit/Department: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Centre for Policing Research and Learning (CPRL)
Item ID: 20045
Depositing User: Harith Alani
Date Deposited: 15 Apr 2010 12:58
Last Modified: 04 Oct 2016 11:47
URI: http://oro.open.ac.uk/id/eprint/20045
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