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  4. Computing minimal subsumption modules of ontologies
 
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2018
Conference Paper
Title

Computing minimal subsumption modules of ontologies

Abstract
In the paper we study algorithms for computing modules that are minimal w.r.t. set inclusion and that preserve the entailment of all subsumptions over a signature of interest. We follow the black-box approach for finding one or all justifications by replacing the entailment tests with logical difference checks, obtaining modules that preserve not only a given consequence but all entailments over a signature. Such minimal modules can serve to improve our understanding of the internal structure of large and complex ontologies. Additionally, several optimisations for speeding up the computation of minimal modules are investigated. We present an experimental evaluation of an implementation of our algorithms for ELH r-terminologies by applying them on the prominent medical ontologies Snomed CT and NCI Thesaurus.
Author(s)
Chen, Jieying
Laboratoire de Recherche en Informatique, Universit´e Paris-Sud, France
Ludwig, Michel
Walther, Dirk
Fraunhofer-Institut für Verkehrs- und Infrastruktursysteme IVI  
Mainwork
GCAI 2018, 4th Global Conference on Artificial Intelligence. Online resource  
Conference
Global Conference on Artificial Intelligence (GCAI) 2018  
Link
Link
DOI
10.29007/tz7k
Language
English
Fraunhofer-Institut für Verkehrs- und Infrastruktursysteme IVI  
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