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.

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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About

• Item ORO ID
• 29125
• Item Type
• Conference or Workshop Item
• Keywords
• knowledge acquisition; knowledge capture; ontology learning; ontology augmentation; semantic web
• Academic Unit or 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)
• Copyright Holders
• © 2011 ACM
• Related URLs
• • http://kcap11.stanford.edu/schedule.html(Other)
• Depositing User
• Kay Dave