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ONSET: Automated foundational ontology selection and explanation

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dc.contributor.author Dawood, Zubeida C
dc.contributor.author Keet, CM
dc.date.accessioned 2012-10-23T13:01:49Z
dc.date.available 2012-10-23T13:01:49Z
dc.date.issued 2012-10
dc.identifier.citation Khan, Z and Keet, CM. ONSET: Automated foundational ontology selection and explanation. 18th International Conference on Knowledge Engineering and Knowledge Management (EKAW'12), Galway, Ireland, 8-12 October 2012. Published in Lecture Notes in Computer Science, 2012, Volume 7603/2012, 237-251, DOI: 10.1007/978-3-642-33876-2_22 en_US
dc.identifier.isbn 978-3-642-33876-2
dc.identifier.isbn 978-3-642-33875-2
dc.identifier.uri http://www.springerlink.com/content/wwm44205x2ggv946/
dc.identifier.uri http://hdl.handle.net/10204/6210
dc.description Copyright: 2012 Springer-Verlag. This is a post-print version of the paper. The definitive version is published in Lecture Notes in Computer Science, 2012, Volume 7603/2012, 237-251, DOI: 10.1007/978-3-642-33876-2_22 en_US
dc.description.abstract It has been shown that using a foundational ontology for domain ontology development is beneficial in theory and practice. However, developers have difficulty with choosing the appropriate foundational ontology, and why. In order to solve this problem, a comprehensive set of criteria that influence foundational ontology selection has been compiled and the values for each parameter determined for DOLCE, BFO, GFO, and SUMO. This paper-based analysis is transformed into an easily extensible algorithm and implemented in the novel tool ONSET, which helps a domain ontology developer to choose a foundational ontology through interactive selection of preferences and scaling of importance so that it computes the most suitable foundational ontology for the domain ontology and explains why this selection was made. This has been evaluated in an experiment with novice modellers, which showed that ONSET greatly assists in foundational ontology selection. en_US
dc.language.iso en en_US
dc.publisher Springer-Verlag en_US
dc.relation.ispartofseries Workflow;9583
dc.subject Ontology development en_US
dc.subject Ontology explanation en_US
dc.title ONSET: Automated foundational ontology selection and explanation en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Khan, Z., & Keet, C. (2012). ONSET: Automated foundational ontology selection and explanation. Springer-Verlag. http://hdl.handle.net/10204/6210 en_ZA
dc.identifier.chicagocitation Khan, Z, and CM Keet. "ONSET: Automated foundational ontology selection and explanation." (2012): http://hdl.handle.net/10204/6210 en_ZA
dc.identifier.vancouvercitation Khan Z, Keet C, ONSET: Automated foundational ontology selection and explanation; Springer-Verlag; 2012. http://hdl.handle.net/10204/6210 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Khan, Z AU - Keet, CM AB - It has been shown that using a foundational ontology for domain ontology development is beneficial in theory and practice. However, developers have difficulty with choosing the appropriate foundational ontology, and why. In order to solve this problem, a comprehensive set of criteria that influence foundational ontology selection has been compiled and the values for each parameter determined for DOLCE, BFO, GFO, and SUMO. This paper-based analysis is transformed into an easily extensible algorithm and implemented in the novel tool ONSET, which helps a domain ontology developer to choose a foundational ontology through interactive selection of preferences and scaling of importance so that it computes the most suitable foundational ontology for the domain ontology and explains why this selection was made. This has been evaluated in an experiment with novice modellers, which showed that ONSET greatly assists in foundational ontology selection. DA - 2012-10 DB - ResearchSpace DP - CSIR KW - Ontology development KW - Ontology explanation LK - https://researchspace.csir.co.za PY - 2012 SM - 978-3-642-33876-2 SM - 978-3-642-33875-2 T1 - ONSET: Automated foundational ontology selection and explanation TI - ONSET: Automated foundational ontology selection and explanation UR - http://hdl.handle.net/10204/6210 ER - en_ZA


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