Aviation Equipment Fault Information Fusion Based on Ontology
Yuan Wang, Qing Li, Yong Sun, Jinliang Chen
Available Online January 2014.
- https://doi.org/10.2991/ccit-14.2014.3How to use a DOI?
- Ontology Mapping, Data Integration, Ontology Reasoning, Data Fusion, Aircraft Fault
- 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.
- 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 -