| Title | Data Driven Ontology Evaluation |
| Author(s) |
Christopher Brewster (1), Harith Alani (2), Srinandan Dasmahapatra (2), Yorick Wilks (1)
(1) Department of Computer Science, University of Sheffield; (2) School of Electronic and Computer Science, University of Southampton |
| Session | O11-EW |
| Abstract | The evaluation of ontologies is vital for the growth ofthe 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 `tennis measure' to evaluate structural fit, and a probabilistic approach to identifying the best ontology. |
| Keyword(s) | Ontology, evaluation, Semantic Web, natural language processing. |
| Language(s) | English, language independent |
| Full Paper | 737.pdf |