A rule-based metric for calculating semantic relatedness score for the motion picture industry
Choudhury, Sharmin, Raymond, Kerry, & Higgs, Peter L. (2008) A rule-based metric for calculating semantic relatedness score for the motion picture industry. In Workshop on Natural Language Processing and Ontology Engineering, 9-12 December, 2008, Sydney, Australia.
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Semantic relatedness is an important part of developing ontology based systems, as it provides the ability to measure the relatedness of two concepts. This is important not only for computational linguistics but also for intelligent querying and data classification. In this paper we present a rule-based calculation for a semantic relatedness score. This metric was specifically developed for Loculus, an ontology we have developed for the Motion Picture Industry. The Metric is evaluated using three axes: the Temporal Axis, the Inheritance Axis and the Linkage Axis. The metric has been tested on pairs of concept; the resulting scores are consistent with human expectations.
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|Item Type:||Conference Paper|
|Keywords:||ontology, semantic relatedness, relatedness metric, motion picture industry|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Information Engineering and Theory (080607)|
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Information Retrieval and Web Search (080704)
|Divisions:||Current > Research Centres > ARC Centre of Excellence for Creative Industries and Innovation|
Current > QUT Faculties and Divisions > Creative Industries Faculty
Past > QUT Faculties & Divisions > Faculty of Science and Technology
|Copyright Owner:||Copyright 2008 IEEE Computer Society Press|
|Deposited On:||14 Apr 2009 15:12|
|Last Modified:||29 Feb 2012 23:46|
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