loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: C. Tatsiopoulos and B. Boutsinas

Affiliation: University of Patras, Greece

Keyword(s): Ontology Mapping, Interoperability, Association Rule Mining.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Cloud Computing ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Information Systems ; Information Engineering Methodologies ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Ontology Engineering ; Semantic Web Technologies ; Sensor Networks ; Services Science ; Signal Processing ; Soft Computing ; Software Agents and Internet Computing ; Symbolic Systems

Abstract: Ontology mapping is one of the most important processes in ontology engineering. It is imposed by the decentralized nature of both the WWW and the Semantic Web, where heterogeneous and incompatible ontologies can be developed by different communities. Ontology mapping can be used to establish efficient information sharing by determining correspondences among such ontologies. The ontology mapping techniques presented in the literature are based on syntactic and/or semantic heuristics. In almost all of them, user intervention is required. In this paper, we present a new ontology mapping technique which, given two input ontologies, is able to map concepts in one ontology onto those in the other, without any user intervention. It is based on association rule mining applied to the concept hierarchies of the input ontologies. We also present experimental results that demonstrate the accuracy of the proposed technique.

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 34.204.99.254

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:
Tatsiopoulos, C. and Boutsinas, B. (2009). ONTOLOGY MAPPING BASED ON ASSOCIATION RULE MINING. In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-8111-86-9; ISSN 2184-4992, SciTePress, pages 33-40. DOI: 10.5220/0001862800330040

@conference{iceis09,
author={C. Tatsiopoulos. and B. Boutsinas.},
title={ONTOLOGY MAPPING BASED ON ASSOCIATION RULE MINING},
booktitle={Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2009},
pages={33-40},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001862800330040},
isbn={978-989-8111-86-9},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - ONTOLOGY MAPPING BASED ON ASSOCIATION RULE MINING
SN - 978-989-8111-86-9
IS - 2184-4992
AU - Tatsiopoulos, C.
AU - Boutsinas, B.
PY - 2009
SP - 33
EP - 40
DO - 10.5220/0001862800330040
PB - SciTePress