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Fernandez, Miriam; Zhang, Ziqui; Lopez, Vanessa; Uren, Victoria and Motta, Enrico
(2011).
DOI: https://doi.org/10.1145/1999676.1999680
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.
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