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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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Abstract

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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ID Code: 19554
Item Type: Conference Paper
Keywords: ontology, semantic relatedness, relatedness metric, motion picture industry
DOI: 10.1109/WIIAT.2008.147
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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