Ontology Mapping for Cross Domain Knowledge Transfer

Santosh Kumar Banbhrani

Ontology Mapping for Cross Domain Knowledge Transfer

Santosh Kumar Banbhrani * §

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Central South University

Ontology Mapping for Cross Domain Knowledge Transfer

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Abstract

The proliferation of domain specific ontologies has improved the ability to represent process and store information in regard to highly specialized domains. However, adhoc transfer of information between domain specific ontologies is not possible. Consequently, multiple solutions have been pro-posed and evaluated as means of facilitating the adhoc transfer of information between another. These range from, structural approaches, which attempt to match knowledge structures between ontologies; lexicographical approaches, that use high level reasoning to match concepts between related ontologies and finally, local structure approaches which look for similar local structures between ontologies to facilitate the transfer of information. To date, the success rate of the published algorithms has been relatively poor. Some of the most successful algorithms, at best are able to match around 50% of the concepts between related ontologies. In this paper we propose a novel global-local hybrid approach to improve the success and accuracy of adhoc information transfer between domain specific ontologies. We demonstrate the efficiency of the proposed algorithm by matching the nodes of three inter-related medical domain ontologies. This demonstrates a significant improvement over existing lexicographical and structural approaches.

References

9 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Santosh Banbhrani. 2013. "Ontology Mapping for Cross Domain Knowledge Transfer". Global Journal of Computer Science and Technology, Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 13 (GJCST Volume 13 Issue C4).

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GJCST Volume 13 Issue C4

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

domain knowledge heterogeneity ontology mapping Semantic Web

Classification

GJCST-C Classification D.2.11

D.2.13

Submission ReceivedDecember 10, 2012
Peer Review Double Blind
Handling Editor
Accepted January 3, 2013
Published January 15, 2013

Version of record

v1.2

Issue date

May 2, 2013

Language

English

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Article Matrices

Total Score: 173

Country: China

Subject: Global Journal of Computer Science and Technology

Authors: Santosh Kumar Banbhrani, Xu DeZhi, Mir Sajjad Hussain Talpur (PhD/Dr. count: 0)

View Count (all-time): 469

Total Views (Real + Logic): 2398

Total Downloads (simulated): 105

Publish Date: 2013 01, Tue

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Total Views: 2.4K

Total Downloads: 105

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