Aviation Equipment Fault Information Fusion Based on Ontology

DOI

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.

Copyright

© 2014, 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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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  - Proceedings of the 2014 International Conference on Computer, Communications and Information Technology
PB  - Atlantis Press
SP  - 8
EP  - 10
SN  - 1951-6851
UR  - https://doi.org/10.2991/ccit-14.2014.3
DO  - 10.2991/ccit-14.2014.3
ID  - Wang2014/01
ER  -