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Ontology mapping based on concept classification

conference contribution
posted on 06.12.2017, 00:00 by K Yang, Robert SteeleRobert Steele
Ontology mapping is a crucial task for achieving large scale semantic inter-operation of heterogeneous information sources. Conventional mapping solutions mainly focus on the mapping of a pair of ontologies. While such approaches are effective in creating one-to-one ontology mappings, they are less efficient when dealing with the many-to-many ontology mapping scenarios. To cope with the complexity issue faced by pair-wise mapping solutions, we propose a many-to-many ontology mapping approach. By treating ontology mapping as a concept classification problem, we aim to reduce the number of concept comparisons involved in many-to-many ontology mapping. A preliminary evaluation of performance was also carried out, and results show that the proposed mapping solution requires less concept comparison cycles for many-to-many ontology mapping.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Start Page

656

End Page

661

Number of Pages

6

Start Date

01/01/2009

ISBN-13

9781424423453

Location

Istanbul

Publisher

IEEE

Place of Publication

New York

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Not affiliated to a Research Institute; University of Sydney;

Era Eligible

Yes

Name of Conference

IEEE International Conference on Digital Ecosystems and Technologies