Proceedings of the 2014 International Conference on Computer, Communications and Information Technology

Aviation Equipment Fault Information Fusion Based on Ontology

Authors
Yuan Wang, Qing Li, Yong Sun, Jinliang Chen
Corresponding Author
Yuan Wang
Available Online January 2014.
DOI
https://doi.org/10.2991/ccit-14.2014.3How to use a DOI?
Keywords
Ontology Mapping, Data Integration, Ontology Reasoning, Data Fusion, Aircraft Fault
Abstract
The designing institution, manufacturer and end-user jointly participate in aircraft maintenance. Maintenance data from multiple sources results in syntax and semantic conflicts, which have restricted integration and sharing of information on aircraft faults. To solve this problem, a solution based on ontology is proposed. Global aircraft fault ontology gives a uniform and specific description for multi-source data, eliminating the semantic heterogeneity. Data integration based on ontology mapping eliminates the structural heterogeneity. Ontology reasoning and data fusion algorithm is proposed and successfully implemented to remove the ambiguity and inconsistence from information on aircraft fault.
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Proceedings
2014 International Conference on Computer, Communications and Information Technology (CCIT 2014)
Part of series
Advances in Intelligent Systems Research
Publication Date
January 2014
ISBN
978-90786-77-97-0
ISSN
1951-6851
DOI
https://doi.org/10.2991/ccit-14.2014.3How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yuan Wang
AU  - Qing Li
AU  - Yong Sun
AU  - Jinliang Chen
PY  - 2014/01
DA  - 2014/01
TI  - Aviation Equipment Fault Information Fusion Based on Ontology
BT  - 2014 International Conference on Computer, Communications and Information Technology (CCIT 2014)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/ccit-14.2014.3
DO  - https://doi.org/10.2991/ccit-14.2014.3
ID  - Wang2014/01
ER  -