Evaluating the Competency of a First-Order Ontology
October 16, 2015 Β· Declared Dead Β· π International Conference on Knowledge Capture
"No code URL or promise found in abstract"
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Authors
Javier Γlvez, Paqui Lucio, German Rigau
arXiv ID
1510.04826
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.LO
Citations
1
Venue
International Conference on Knowledge Capture
Last Checked
4 months ago
Abstract
We report on the results of evaluating the competency of a first-order ontology for its use with automated theorem provers (ATPs). The evaluation follows the adaptation of the methodology based on competency questions (CQs) [GrΓΌninger&Fox,1995] to the framework of first-order logic, which is presented in [Γlvez&Lucio&Rigau,2015], and is applied to Adimen-SUMO [Γlvez&Lucio&Rigau,2015]. The set of CQs used for this evaluation has been automatically generated from a small set of semantic patterns and the mapping of WordNet to SUMO. Analysing the results, we can conclude that it is feasible to use ATPs for working with Adimen-SUMO v2.4, enabling the resolution of goals by means of performing non-trivial inferences.
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