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Data driven ontology evaluation

By Christopher Brewster, Harith Alani, Srinandan Dasmahapatra and Yorick Wilks

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

Year: 2004
OAI identifier: oai:oro.open.ac.uk:20045
Provided by: Open Research Online

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