We propose a method that combines terminological decision trees and the Dempster-Shafer Theory, to support tasks like ontology completion. The goal is to build a predictive model that can cope with the epistemological uncertainty due to the Open World Assumption when reasoning with Web ontologies. With such models not only one can predict new (non derivable) assertions for completing the ontology but by assessing the quality of the induced axioms. © Springer International Publishing Switzerland 2014.
CITATION STYLE
Rizzo, G., d’Amato, C., Fanizzi, N., & Esposito, F. (2014). Towards Evidence-Based Terminological Decision Trees. In Communications in Computer and Information Science (Vol. 442 CCIS, pp. 36–45). Springer Verlag. https://doi.org/10.1007/978-3-319-08795-5_5
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