Evaluation of U Ontology

Ashraf, J; Hussain, OK; Hussain, FK; Chang, EJ

Evaluation of U Ontology

Ashraf, J Hussain, OK Hussain, FK

Chang, EJ

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Publication Type:: Chapter
Citation:: Studies in Computational Intelligence, 2018, 767 pp. 243 - 268
Issue Date:: 2018-01-01

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Field	Value	Language
dc.contributor.author	Ashraf, J	en_US
dc.contributor.author	Hussain, OK	en_US
dc.contributor.author	Hussain, FK https://orcid.org/0000-0003-1513-8072	en_US
dc.contributor.author	Chang, EJ	en_US
dc.date.issued	2018-01-01	en_US
dc.identifier.citation	Studies in Computational Intelligence, 2018, 767 pp. 243 - 268	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133057
dc.description.abstract	© 2018, Springer International Publishing AG, part of Springer Nature. The utilization of the OUSAF and its computational components were presented in the previous chapter. The U Ontology, which conceptualizes the Ontology Usage Analysis domain, was used to obtain ontology usage-related information from the OUSAF. In this chapter, the U Ontology will be evaluated using an ontology evaluation methodology to measure the quality of the developed ontology. For an ontology to be of good quality and remain useful for its users, it needs to conform to a set of good practices. These practices are analysed using evaluation techniques which assess an ontology based on specific criteria to ensure that the developed ontology meets the user’s expectations.	en_US
dc.relation.ispartof	Studies in Computational Intelligence	en_US
dc.relation.isbasedon	10.1007/978-3-319-75681-3_9	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Evaluation of U Ontology	en_US
dc.type	Chapter
utslib.citation.volume	767	en_US
utslib.for	0802 Computation Theory and Mathematics	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.declined	2019-05-03T16:01:31.19+1000
pubs.publication-status	Published	en_US
pubs.volume	767	en_US

Abstract:

© 2018, Springer International Publishing AG, part of Springer Nature. The utilization of the OUSAF and its computational components were presented in the previous chapter. The U Ontology, which conceptualizes the Ontology Usage Analysis domain, was used to obtain ontology usage-related information from the OUSAF. In this chapter, the U Ontology will be evaluated using an ontology evaluation methodology to measure the quality of the developed ontology. For an ontology to be of good quality and remain useful for its users, it needs to conform to a set of good practices. These practices are analysed using evaluation techniques which assess an ontology based on specific criteria to ensure that the developed ontology meets the user’s expectations.

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http://hdl.handle.net/10453/133057