Brewster, C., Alani, H., Dasmahapatra, S. and Wilks, Y. (2004) Data Driven Ontology Evaluation. In: International Conference on Language Resources and Evaluation, 24-30 May, 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.
| Creators: | Christopher Brewster, Harith Alani, Srinandan Dasmahapatra, Yorick Wilks |
|---|---|
| Item Type: | Conference or Workshop Item |
| Research Group: | Intelligence, Agents, Multimedia Science and Engineering of Natural Systems |
| Deposited On: | 02 Mar 2005 by Alani, Harith |
| ID Code: | 9062 |
| Last Modified: | 11 Nov 2009 12:18 |
| Performance Indicator: | EZ~04~02~04 |
| Citations: | Google Scholar: 147 |
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