A three-level approach to ontology merging

Authors:
Agustina Buccella;Alejandra Cechich;Nieves Brisaboa
Affiliations:
Departamento de Ciencias de la Computación, Universidad Nacional del Comahue, Neuquén, Argentina;Departamento de Ciencias de la Computación, Universidad Nacional del Comahue, Neuquén, Argentina;Departamento de Computación, Universidade de A Coruña, La Coruña, España
Venue:
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
Year:
2005

Citing 7
Cited 2

A translation approach to portable ontology specifications

Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Determining Semantic Similarity among Entity Classes from Different Ontologies

IEEE Transactions on Knowledge and Data Engineering
Measuring Similarity between Ontologies

EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
An Information-Theoretic Definition of Similarity

ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Ontology mapping: the state of the art

The Knowledge Engineering Review
FCA-MERGE: bottom-up merging of ontologies

IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1

Towards Integration of Geographic Information Systems

Electronic Notes in Theoretical Computer Science (ENTCS)
ASeMatch: a semantic matching method

TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue

Quantified Score

Hi-index	0.00

Visualization

Abstract

Ontology merging is the process of creating a new ontology from two or more existing ontologies with overlapping parts. Currently, there are many domain areas in Computer Science interested in this topic. Federated Databases and Semantic Web are some of them. In this paper we introduce a three level approach that provides a semi-automatic method to ontology merging. It performs some tasks automatically and guides the user in performing other tasks for which his intervention is required.