Information Flow based ontology mapping
Information Flow based ontology mapping
As ontologies become ever more important for semantically-rich information exchange and a crucial element for supporting knowledge sharing in a large distributed environment, like the Web, the demand for sharing them increases accordingly. One way of achieving this ambitious goal is to provide mechanised ways for mapping and merging ontologies. This has been the focus of recent research in knowledge engineering. However, we observe a dearth of mapping methods that are based on a strong theoretical ground, are easy to replicate in different settings, and use semantically-rich mechanisms for performing ontology mapping. In this paper, we aim to fill in these gaps with a method we propose for Information-Flow-based ontology mapping. Our method draws on the proven theoretical ground of Information Flow and channel theory, and we provide a systematic and mechanised methodology for deploying it on a distributed environment to perform ontology mapping among a variety of different ontologies. We applied our method at a large-scale experiment of mapping five ontologies modelling Computer Science departments in five UK Universities. We elaborate on a theory for ontology mapping, analyse the mechanised steps of applying it, and assess its ontology mapping results.
Kalfoglou, Yannis
d3d242fd-4ce2-4041-b8ea-aa3b3bec3b88
Schorlemmer, Marco
37158fd9-18da-4124-8916-e423f9150677
2002
Kalfoglou, Yannis
d3d242fd-4ce2-4041-b8ea-aa3b3bec3b88
Schorlemmer, Marco
37158fd9-18da-4124-8916-e423f9150677
Kalfoglou, Yannis and Schorlemmer, Marco
(2002)
Information Flow based ontology mapping.
1st International Conference on Ontologies, Databases and Applications of Semantics (ODBASE'02), Irvine, CA, United States.
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Abstract
As ontologies become ever more important for semantically-rich information exchange and a crucial element for supporting knowledge sharing in a large distributed environment, like the Web, the demand for sharing them increases accordingly. One way of achieving this ambitious goal is to provide mechanised ways for mapping and merging ontologies. This has been the focus of recent research in knowledge engineering. However, we observe a dearth of mapping methods that are based on a strong theoretical ground, are easy to replicate in different settings, and use semantically-rich mechanisms for performing ontology mapping. In this paper, we aim to fill in these gaps with a method we propose for Information-Flow-based ontology mapping. Our method draws on the proven theoretical ground of Information Flow and channel theory, and we provide a systematic and mechanised methodology for deploying it on a distributed environment to perform ontology mapping among a variety of different ontologies. We applied our method at a large-scale experiment of mapping five ontologies modelling Computer Science departments in five UK Universities. We elaborate on a theory for ontology mapping, analyse the mechanised steps of applying it, and assess its ontology mapping results.
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Published date: 2002
Additional Information:
Event Dates: October 2002
Venue - Dates:
1st International Conference on Ontologies, Databases and Applications of Semantics (ODBASE'02), Irvine, CA, United States, 2002-10-01
Organisations:
Electronics & Computer Science
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Local EPrints ID: 260522
URI: http://eprints.soton.ac.uk/id/eprint/260522
PURE UUID: 53d9e02b-3668-4a41-9ae7-8b4359f40e7b
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Date deposited: 17 Feb 2005
Last modified: 14 Mar 2024 06:39
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Contributors
Author:
Yannis Kalfoglou
Author:
Marco Schorlemmer
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