Proceedings of the 2016 Joint International Information Technology, Mechanical and Electronic Engineering

Research on an improved ontology mapping method

Authors
Kai Liu, Shanhong Zheng, Wanlong Li, Kai Li
Corresponding Author
Kai Liu
Available Online October 2016.
DOI
10.2991/jimec-16.2016.86How to use a DOI?
Keywords
ontology;ontology mapping;conceptual similarity;multi-strategy
Abstract

In order to improve the accuracy of ontology mapping,an improved ontology mapping method is proposed.Firstly,simplify the process of calculating the conceptual similarity by adopting the candidate set.Then,determine the weight by referencing the rough set condition information entropy aimed at improving the quality of mapping.Last,the test set also called benchmark provided by OAEI is introduced to test the performance of our mapping algorithm.The experimental results display that the mapping efficiency and generality is maintained,the recall and precision of ontology mapping is significantly promoted as well.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 Joint International Information Technology, Mechanical and Electronic Engineering
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
978-94-6252-234-3
ISSN
2352-5401
DOI
10.2991/jimec-16.2016.86How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Kai Liu
AU  - Shanhong Zheng
AU  - Wanlong Li
AU  - Kai Li
PY  - 2016/10
DA  - 2016/10
TI  - Research on an improved ontology mapping method
BT  - Proceedings of the 2016 Joint International Information Technology, Mechanical and Electronic Engineering
PB  - Atlantis Press
SP  - 482
EP  - 486
SN  - 2352-5401
UR  - https://doi.org/10.2991/jimec-16.2016.86
DO  - 10.2991/jimec-16.2016.86
ID  - Liu2016/10
ER  -