Assessing Similarity Between Two Ontologies: The Use of the Integrity Coefficient

Authors Aly Ngoné Ngom, Papa Ousseynou Mbaye, Ibrahima Gaye

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Aly Ngoné Ngom
  • LANI, Gaston Berger University, Saint-Louis, Sénégal
  • SET, Sup de Co of Dakar, Sénégal
Papa Ousseynou Mbaye
  • SET, Sup de Co of Dakar, Sénégal
Ibrahima Gaye
  • Alioune Diop University of Bambey, Sénégal


We want to thank Sup De Co of Dakar which supports all fund of the registrement.

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Aly Ngoné Ngom, Papa Ousseynou Mbaye, and Ibrahima Gaye. Assessing Similarity Between Two Ontologies: The Use of the Integrity Coefficient. In 11th Symposium on Languages, Applications and Technologies (SLATE 2022). Open Access Series in Informatics (OASIcs), Volume 104, pp. 1:1-1:11, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)


The aim of this paper is to propose a new coefficient of integrity I_{new} for improving N_{Plus} measure which is an improvement of the T_{Ngom} measure. In N_{Plus} measure, the coefficient of integrity used (I) decreases and tends to 0 fastly when we just add some concepts for extendind set of resemblance of ontologies. To fix this problem, we introduce R, the coefficient of representativeness of concepts added in the ontology for its extension. I_{new} decreases slowly compared to I and depends to the cardinality of the ontology extended and the number of concepts added to it too.

Subject Classification

ACM Subject Classification
  • Theory of computation → Operational semantics
  • Information systems → Data structures
  • Semantic similarity measures
  • Ontologies similarities
  • Tversky ’s measures
  • Concepts similarities


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