loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Sami Zghal 1 ; Marouen Kachroudi 2 ; Sadok Ben Yahia 2 and Engelbert Mephu Nguifo 3

Affiliations: 1 Artois University, IUT of Lens, France ; 2 Faculty of Sciences of Tunis, Tunisia ; 3 Complexe scientifique des Cézeaux, France

Keyword(s): Ontology alignment, Similarity measures, Composition of similarities.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Ontology Matching and Alignment ; Symbolic Systems

Abstract: Ontologies are the kernel of semantic Web. They allow the explicitation of the semantic purpose for structuring different fields of interest. In order to harmonize them and to guarantee the interoperability between these resources, the topic of alignment of ontologies has emerged as an important process to reduce their heterogeneity and improve their exploitation. The paper introduces a new method of alignment of OWL-DL ontologies, using a combination and aggregation of similarity measures. Both ontologies are transformed into a graph which describes their information. The proposed method operates in two steps: local (linguistic similarity composition and neighborhood similarity) step and the aggregation one.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.144.89.152

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Zghal, S.; Kachroudi, M.; Yahia, S. and Nguifo, E. (2009). OACAS - Ontologies Alignment using Composition and Aggregation of Similarities. In Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2009) - KEOD; ISBN 978-989-674-012-2; ISSN 2184-3228, SciTePress, pages 233-238. DOI: 10.5220/0002301802330238

@conference{keod09,
author={Sami Zghal. and Marouen Kachroudi. and Sadok Ben Yahia. and Engelbert Mephu Nguifo.},
title={OACAS - Ontologies Alignment using Composition and Aggregation of Similarities},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2009) - KEOD},
year={2009},
pages={233-238},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002301802330238},
isbn={978-989-674-012-2},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2009) - KEOD
TI - OACAS - Ontologies Alignment using Composition and Aggregation of Similarities
SN - 978-989-674-012-2
IS - 2184-3228
AU - Zghal, S.
AU - Kachroudi, M.
AU - Yahia, S.
AU - Nguifo, E.
PY - 2009
SP - 233
EP - 238
DO - 10.5220/0002301802330238
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic