Knowledge and Information Systems

, Volume 51, Issue 3, pp 775–819

Minimizing conservativity violations in ontology alignments: algorithms and evaluation

  • Alessandro Solimando
  • Ernesto Jiménez-Ruiz
  • Giovanna Guerrini
Regular Paper

DOI: 10.1007/s10115-016-0983-3

Cite this article as:
Solimando, A., Jiménez-Ruiz, E. & Guerrini, G. Knowl Inf Syst (2017) 51: 775. doi:10.1007/s10115-016-0983-3

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.

Keywords

Ontology alignment Ontology matching Ontology alignment debugging Mapping repair 

Copyright information

© Springer-Verlag London 2016

Authors and Affiliations

  1. 1.DIBRIS, Informatica, Bioingegneria, Robotica e Ingegneria dei SistemiUniversity of GenovaGenovaItaly
  2. 2.Department of Computer ScienceUniversity of OxfordOxfordUK

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