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Ontology augmentation: combining semantic web and text resources

Fernandez, Miriam; Zhang, Ziqui ; Lopez, Vanessa; Uren, Victoria and Motta, Enrico (2011). Ontology augmentation: combining semantic web and text resources. In: 6th International Conference on Knowledge Capture (K-CAP 2011), 25-29 Jun 2011, Banff, Alberta, Canada.

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DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1145/1999676.1999680
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Abstract

This work investigates the process of selecting, extracting and reorganizing content from Semantic Web information sources, to produce an ontology meeting the specifications of a particular domain and/or task. The process is combined with traditional text-based ontology learning methods to achieve tolerance to knowledge incompleteness. The paper describes the approach and presents experiments in which an ontology was built for a diet evaluation task. Although the example presented concerns the specific case of building a nutritional ontology, the methods employed are domain independent and transferrable to other use cases.

Item Type: Conference Item
Copyright Holders: 2011 ACM
Keywords: knowledge acquisition; knowledge capture; ontology learning; ontology augmentation; semantic web
Academic Unit/Department: Knowledge Media Institute
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
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Item ID: 29125
Depositing User: Kay Dave
Date Deposited: 17 Aug 2011 08:12
Last Modified: 26 Oct 2012 07:22
URI: http://oro.open.ac.uk/id/eprint/29125
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