Ontology mapping using background knowledge

Authors:
Zharko Aleksovski;Michel Klein
Affiliations:
Vrije Universiteit, Amsterdam, The Netherlands;Vrije Universiteit, Amsterdam, The Netherlands
Venue:
Proceedings of the 3rd international conference on Knowledge capture
Year:
2005

Citing 4
Cited 1

Learning to map between ontologies on the semantic web

Proceedings of the 11th international conference on World Wide Web
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
The Chimaera Ontology Environment

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
A survey of approaches to automatic schema matching

The VLDB Journal — The International Journal on Very Large Data Bases

Using Background Knowledge and Context Knowledge in Ontology Mapping

Proceedings of the 2008 conference on Formal Ontologies Meet Industry

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we report on a method for aligning two lists of terms using structure-rich ontologies as background knowledge. The results of the method can be seen as suggested mapping candidates to users that perform an ontology alignment task. We applied the method on lists of medical terms, and we discuss the outcome.