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Ontology mapping using description logic and bridging axioms
journal contribution
posted on 2016-03-10, 14:57 authored by Sri K. Kumar, Jennifer HardingJennifer HardingIn the last decade various proposals have been made to promote fruitful and efficient collaboration among small and medium sized enterprises (SMEs) in the form of virtual enterprises (VEs). The success of VEs depends on seamless interoperability of knowledge and data sharing. Ontology implementation is becoming an essential and successful tool for VE operation but commonly ontology mapping is also required to achieve interoperability. The current state of the art in ontology mapping indicates that mapping systems require a great deal of human intervention as mapping brings various types of conflicts and inconsistencies. The ontology mapping method proposed in this paper uses description logic (DL) based bridging axioms between the ontologies. Atomic concept level similarity has been taken as input to establish the complex concepts and roles level mapping. Manufacturing and marketing enterprise ontologies are considered and their mapping has been demonstrated as an example of the proposed mapping process. © 2012 Elsevier B.V.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
Computers in IndustryVolume
64Issue
1Pages
19 - 28Citation
KUMAR, S.K. and HARDING, J.A., 2013. Ontology mapping using description logic and bridging axioms. Computers in Industry, 64(1), pp. 19-28.Publisher
© ElsevierVersion
- AM (Accepted Manuscript)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2013Notes
This paper was accepted for publication in the journal Computers in Industry and the definitive published version is available at http://dx.doi.org/10.1016/j.compind.2012.09.004ISSN
0166-3615Publisher version
Language
- en