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The Information-Flow Approach to Ontology-Based Semantic Integration

The Information-Flow Approach to Ontology-Based Semantic Integration
The Information-Flow Approach to Ontology-Based Semantic Integration
In this article we argue for the lack of formal foundations for ontology-based semantic alignment. We analyse and formalise the basic notions of semantic matching and alignment and we situate them in the context of ontology-based alignment in open-ended and distributed environments, like the Web. We then use the mathematical notion of information flow in a distributed system to ground three hypotheses that enable semantic alignment. We draw our exemplar applications of this work from a variety of interoperability scenarios including ontology mapping, theory of semantic interoperability, progressive ontology alignment, and situated semantic alignment.
Springer
Kalfoglou, Yannis
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Schorlemmer, Marco
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Kalfoglou, Yannis
d3d242fd-4ce2-4041-b8ea-aa3b3bec3b88
Schorlemmer, Marco
37158fd9-18da-4124-8916-e423f9150677

Kalfoglou, Yannis and Schorlemmer, Marco (2010) The Information-Flow Approach to Ontology-Based Semantic Integration. In, Theory and Applications of Ontology: Computer Applicactions. Springer.

Record type: Book Section

Abstract

In this article we argue for the lack of formal foundations for ontology-based semantic alignment. We analyse and formalise the basic notions of semantic matching and alignment and we situate them in the context of ontology-based alignment in open-ended and distributed environments, like the Web. We then use the mathematical notion of information flow in a distributed system to ground three hypotheses that enable semantic alignment. We draw our exemplar applications of this work from a variety of interoperability scenarios including ontology mapping, theory of semantic interoperability, progressive ontology alignment, and situated semantic alignment.

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More information

Published date: 2010
Additional Information: ISBN 978-90-481-8846-8 Chapter: 4
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 268564
URI: http://eprints.soton.ac.uk/id/eprint/268564
PURE UUID: 711636d4-4ef1-4276-8d2c-f0562fa5ccad

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Date deposited: 26 Feb 2010 20:29
Last modified: 14 Mar 2024 09:13

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Contributors

Author: Yannis Kalfoglou
Author: Marco Schorlemmer

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