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.
Reference:
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
Khan, Z., & Keet, C. (2012). ONSET: Automated foundational ontology selection and explanation. Springer-Verlag. http://hdl.handle.net/10204/6210
Khan, Z, and CM Keet. "ONSET: Automated foundational ontology selection and explanation." (2012): http://hdl.handle.net/10204/6210
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
