Data Driven Ontology Evaluation

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.

Item Type:	Conference or Workshop Item
Creator/Authors:	Christopher Brewster Harith Alani Srinandan Dasmahapatra Yorick Wilks
Research Group:	Current ECS Groups > Communications, Signal Processing and Control Old ECS Groups > Science and Engineering of Natural Systems Current ECS Groups > Web and Internet Science Old ECS Groups > Intelligence, Agents, Multimedia
Date:	2004
Information about this record:
Performance Indicator:	EZ~04~02~04
Citations:	Google Scholar: 197
Downloads (2010):	97
ID Code:	9062
Last Modified:	23 Sep 2011 10:30
Deposited On:	02 Mar 2005 by Alani, Harith

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