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.
Original language | English |
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Title of host publication | Proceeding : K-CAP '11 |
Subtitle of host publication | proceedings of the sixth international conference on knowledge capture |
Place of Publication | New York, NY (US) |
Publisher | ACM |
Pages | 9-16 |
Number of pages | 8 |
ISBN (Print) | 978-1-4503-0396-5 |
DOIs | |
Publication status | Published - 2011 |
Event | 6th International Conference on Knowledge Capture - Alberta, Canada Duration: 25 Jun 2011 → 29 Jun 2011 |
Conference
Conference | 6th International Conference on Knowledge Capture |
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Abbreviated title | KCAP 2011 |
Country/Territory | Canada |
City | Alberta |
Period | 25/06/11 → 29/06/11 |