A study of methodologies for assessing semantic similarity between two ontologies

This paper aims at presenting a methodology to assess similarity between two ontologies. Many works on similarities between ontologies have been done. That is not the case between ontologies. This approach based on set theory, edges and feature similarity consists of two parts. Firstly, we determine set of concepts shared by two ontologies and Their differences before assessing similarity between the ontologies. Secondly the methodological part will be an extension of the first one. In this part, the method of assessing similarity values between two ontologies is extended by considering the "is-a" relation between concepts two ontologies.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-30
DOI
https://doi.org/10.5281/zenodo.17173006
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A study of methodologies for assessing semantic similarity between two ontologies

Zenodo (CERN European Organization for Nuclear Research)
Semantic Web and Ontologies
article

A study of methodologies for assessing semantic similarity between two ontologies

article en

Abstract

This paper aims at presenting a methodology to assess similarity between two ontologies. Many works on similarities between ontologies have been done. That is not the case between ontologies. This approach based on set theory, edges and feature similarity consists of two parts. Firstly, we determine set of concepts shared by two ontologies and Their differences before assessing similarity between the ontologies. Secondly the methodological part will be an extension of the first one. In this part, the method of assessing similarity values between two ontologies is extended by considering the "is-a" relation between concepts two ontologies.

Zenodo (CERN European Organization for Nuclear Research)
Université Alioune Diop de Bambey (SN)
Reduced inequalities
Openalex Percentile: Top 30%
Semantic Web and Ontologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.