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