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

Ngom, Aly Ngoné; Mbaye, Papa Ousseynou; Gaye, Ibrahima

doi:10.4230/OASIcs.SLATE.2022.1

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Document Identifiers

DOI: 10.4230/OASIcs.SLATE.2022.1
URN: urn:nbn:de:0030-drops-167474

Author Details

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

Acknowledgements

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

Cite AsGet BibTex

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)
https://doi.org/10.4230/OASIcs.SLATE.2022.1

Abstract

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

Keywords

Semantic similarity measures
Ontologies similarities
Tversky ’s measures
Concepts similarities

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References

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