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Minimizing conservativity violations in ontology alignments: algorithms and evaluation

Solimando, A., Jimenez-Ruiz, E. & Guerrini, G. (2017). Minimizing conservativity violations in ontology alignments: algorithms and evaluation. Knowledge and Information Systems, 51(3), pp. 775-819. doi: 10.1007/s10115-016-0983-3


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.

Publication Type: Article
Additional Information: This is a post-peer-review, pre-copyedit version of an article published in Knowledge and Information Systems. The final authenticated version is available online at:
Publisher Keywords: Ontology alignment, Ontology matching, Ontology alignment debugging, Mapping repair
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Science & Technology > Computer Science
Text - Accepted Version
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