Ontology Matching Technology Based on Local Standard Ontology Alignment

JIANG Li; XUE Xingsi

doi:10.13976/j.cnki.xk.2016.0066

Volume 45 Issue 1

Feb. 2016

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INFORMATION AND CONTROL > 2016 > 45(1): 66-72. > DOI: 10.13976/j.cnki.xk.2016.0066 CSTR: 32166.14.xk.2016.0066

JIANG Li, XUE Xingsi. Ontology Matching Technology Based on Local Standard Ontology Alignment[J]. INFORMATION AND CONTROL, 2016, 45(1): 66-72. DOI: 10.13976/j.cnki.xk.2016.0066

Citation:

JIANG Li, XUE Xingsi. Ontology Matching Technology Based on Local Standard Ontology Alignment[J]. INFORMATION AND CONTROL, 2016, 45(1): 66-72. DOI: 10.13976/j.cnki.xk.2016.0066

Citation:

JIANG Li, XUE Xingsi. Ontology Matching Technology Based on Local Standard Ontology Alignment[J]. INFORMATION AND CONTROL, 2016, 45(1): 66-72. DOI: 10.13976/j.cnki.xk.2016.0066

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Ontology Matching Technology Based on Local Standard Ontology Alignment

JIANG Li¹,
XUE Xingsi^2, ,

1.
Computer Department, Fuzhou Polytechnic, Fuzhou 350108, China
2.
College of Information Science and Engineering, Fujian University of Technology, Fuzhou 350118, China

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Received Date: February 04, 2015
Revised Date: August 17, 2015
Available Online: December 07, 2022
Published Date: February 19, 2016

Graphical Abstract

Abstract

Abstract

To overcome the drawback that an entire standard ontology alignment must be provided beforehand in current evolutionary-algorithm-based ontology matching technologies, we propose an ontology matching approachbased on local standard ontology alignment. First, we utilize the ontology concept of the clustering algorithm to build the local standard ontology alignment, and then construct a multi-object optimization model for the ontology matching problem based on the local standard ontology alignment. Then, we propose a multiobjective evolutionary algorithm based on decomposition (MOEA/D) that is also based on the local standard ontology alignment. We conducted an experiment using a testing dataset from the ontology alignment evaluation initiative 2012, and the results demonstrate the effectiveness of the proposed approach.

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