License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.SLATE.2022.1
URN: urn:nbn:de:0030-drops-167474
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2022/16747/
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Ngom, Aly Ngoné ; Mbaye, Papa Ousseynou ; Gaye, Ibrahima

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

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OASIcs-SLATE-2022-1.pdf (0.9 MB)

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.

BibTeX - Entry

@InProceedings{ngom_et_al:OASIcs.SLATE.2022.1,
  author =	{Ngom, Aly Ngon\'{e} and Mbaye, Papa Ousseynou and Gaye, Ibrahima},
  title =	{{Assessing Similarity Between Two Ontologies: The Use of the Integrity Coefficient}},
  booktitle =	{11th Symposium on Languages, Applications and Technologies (SLATE 2022)},
  pages =	{1:1--1:11},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-245-7},
  ISSN =	{2190-6807},
  year =	{2022},
  volume =	{104},
  editor =	{Cordeiro, Jo\~{a}o and Pereira, Maria Jo\~{a}o and Rodrigues, Nuno F. and Pais, Sebasti\~{a}o},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2022/16747},
  URN =		{urn:nbn:de:0030-drops-167474},
  doi =		{10.4230/OASIcs.SLATE.2022.1},
  annote =	{Keywords: Semantic similarity measures, Ontologies similarities, Tversky ’s measures, Concepts similarities}
}

Keywords: Semantic similarity measures, Ontologies similarities, Tversky ’s measures, Concepts similarities
Collection: 11th Symposium on Languages, Applications and Technologies (SLATE 2022)
Issue Date: 2022
Date of publication: 27.07.2022

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