Data Driven Ontology Evaluation
Brewster, Christopher and Alani, Harith and Dasmahapatra, Srinandan and Wilks, Yorick (2004) Data Driven Ontology Evaluation. International Conference on Language Resources and Evaluation, 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.
| Subjects: | AKT Challenges > Knowledge reuse AKT Challenges > Knowledge retrieval |
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| ID Code: | 337 |
| Deposited By: | Alani, Harith |
| Deposited On: | 22 June 2004 |
| Alternative Locations: | http://eprints.ecs.soton.ac.uk/archive/00009062/01/BrewsterLREC-final.pdf |
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