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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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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 or Workshop Item
Copyright Holders: 2011 ACM
Keywords: knowledge acquisition; knowledge capture; ontology learning; ontology augmentation; semantic web
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 29125
Depositing User: Kay Dave
Date Deposited: 17 Aug 2011 08:12
Last Modified: 08 Dec 2018 09:56
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