Hostname: page-component-745bb68f8f-hvd4g Total loading time: 0 Render date: 2025-01-12T23:11:59.493Z Has data issue: false hasContentIssue false
  • English
  • Français

Ontology mapping: the state of the art

Published online by Cambridge University Press:  01 December 2003

YANNIS KALFOGLOU  and
MARCO SCHORLEMMER
YANNIS KALFOGLOU
Affiliation:
Advanced Knowledge Technologies, Department of Electronics and Computer Science, University of Southampton, UK e-mail: [email protected]
MARCO SCHORLEMMER
Affiliation:
Advanced Knowledge Technologies, Centre for Intelligent Systems and their Applications, School of Informatics, The University of Edinburgh, UK e-mail: [email protected] Escola Superior de Tecnologies d'Informació i Comunicació, Universitat Internacional de Catalunya, Spain
Get access Rights & Permissions [Opens in a new window]

Abstract

Ontology mapping is seen as a solution provider in today's landscape of ontology research. As the number of ontologies that are made publicly available and accessible on the Web increases steadily, so does the need for applications to use them. A single ontology is no longer enough to support the tasks envisaged by a distributed environment like the Semantic Web. Multiple ontologies need to be accessed from several applications. Mapping could provide a common layer from which several ontologies could be accessed and hence could exchange information in semantically sound manners. Developing such mappings has been the focus of a variety of works originating from diverse communities over a number of years. In this article we comprehensively review and present these works. We also provide insights on the pragmatics of ontology mapping and elaborate on a theoretical approach for defining ontology mapping.

Type
Research Article
Information
The Knowledge Engineering Review , Volume 18 , Issue 1 , January 2003 , pp. 1 - 31
Copyright
© 2003 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

This work is supported under the Advanced Knowledge Technologies (AKT) Interdisciplinary Research Collaboration (IRC), which is sponsored by the UK Engineering and Physical Sciences Research Council under grant number GR/N15764/01. The AKT IRC comprises the Universities of Aberdeen, Edinburgh, Sheffield and Southampton and the Open University. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing official policies or endorsements, either expressed or implied, of the EPSRC or any other member of the AKT IRC.