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Data Driven Ontology Evaluation

Data Driven Ontology Evaluation
Data Driven Ontology Evaluation
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.
Brewster, Christopher
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Alani, Harith
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Dasmahapatra, Srinandan
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Wilks, Yorick
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Brewster, Christopher
5c9505d5-82f2-4781-8057-9999af070617
Alani, Harith
70cdbdce-1494-44c2-9dae-65d82bf7e991
Dasmahapatra, Srinandan
eb5fd76f-4335-4ae9-a88a-20b9e2b3f698
Wilks, Yorick
d1cda3b2-4f3a-41ba-bdb7-5355d9e35a24

Brewster, Christopher, Alani, Harith, Dasmahapatra, Srinandan and Wilks, Yorick (2004) Data Driven Ontology Evaluation. International Conference on Language Resources and Evaluation, Portugal. 24 - 30 May 2004.

Record type: Conference or Workshop Item (Paper)

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.

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More information

Published date: 2004
Additional Information: Event Dates: 24-30 May
Venue - Dates: International Conference on Language Resources and Evaluation, Portugal, 2004-05-24 - 2004-05-30
Organisations: Web & Internet Science, Southampton Wireless Group

Identifiers

Local EPrints ID: 259062
URI: https://eprints.soton.ac.uk/id/eprint/259062
PURE UUID: af812d13-9e6c-4bac-aae0-c72370bd046e

Catalogue record

Date deposited: 02 Mar 2005
Last modified: 15 Feb 2018 17:35

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Contributors

Author: Christopher Brewster
Author: Harith Alani
Author: Yorick Wilks

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