In order to enable interoperability between ontology-based systems, ontology matching techniques have been proposed. However, when the generated mappings lead to undesired logical consequences, their usefulness may be diminished. In this paper, we present an approach to detect and minimize the violations of the so-called conservativity principle where novel subsumption entailments between named concepts in one of the input ontologies are considered as unwanted. The practical applicability of the proposed approach is experimentally demonstrated on the datasets from the Ontology Alignment Evaluation Initiative.
%0 Journal Article
%1 kais_sjg_2016
%A Solimando, Alessandro
%A Jimenez-Ruiz, Ernesto
%A Guerrini, Giovanna
%D 2016
%I Springer
%J Knowledge and Information Systems
%K myown optique-project optiqueproject
%R 10.1007/s10115-016-0983-3
%T Minimizing Conservativity Violations in Ontology Alignments: Algorithms and Evaluation
%U https://github.com/asolimando/logmap-conservativity/
%X In order to enable interoperability between ontology-based systems, ontology matching techniques have been proposed. However, when the generated mappings lead to undesired logical consequences, their usefulness may be diminished. In this paper, we present an approach to detect and minimize the violations of the so-called conservativity principle where novel subsumption entailments between named concepts in one of the input ontologies are considered as unwanted. The practical applicability of the proposed approach is experimentally demonstrated on the datasets from the Ontology Alignment Evaluation Initiative.
@article{kais_sjg_2016,
abstract = {In order to enable interoperability between ontology-based systems, ontology matching techniques have been proposed. However, when the generated mappings lead to undesired logical consequences, their usefulness may be diminished. In this paper, we present an approach to detect and minimize the violations of the so-called conservativity principle where novel subsumption entailments between named concepts in one of the input ontologies are considered as unwanted. The practical applicability of the proposed approach is experimentally demonstrated on the datasets from the Ontology Alignment Evaluation Initiative.},
added-at = {2016-10-25T13:50:54.000+0200},
audience = {academic},
author = {Solimando, Alessandro and Jimenez-Ruiz, Ernesto and Guerrini, Giovanna},
biburl = {https://www.bibsonomy.org/bibtex/23a32b428a161f4929cd06f0c599e36a9/ernesto.jimenez},
doi = {10.1007/s10115-016-0983-3},
interhash = {f895ccb64707fff208f8e18005a74662},
intrahash = {3a32b428a161f4929cd06f0c599e36a9},
journal = {Knowledge and Information Systems},
keywords = {myown optique-project optiqueproject},
openaccess = {No},
partneroptique = {UOXF},
publisher = {Springer},
timestamp = {2016-12-09T17:13:50.000+0100},
title = {Minimizing Conservativity Violations in Ontology Alignments: Algorithms and Evaluation},
url = {https://github.com/asolimando/logmap-conservativity/},
wpoptique = {WP4},
year = 2016,
yearoptique = {Y4}
}