Ontology Modeling of Aircraft Fault Knowledge

Article Preview

Abstract:

With consideration of the actual requirement of fault knowledge management in current aviation maintenance, ontology-based knowledge representation method of aircraft fault is studied. Knowledge sources of aircraft fault ontology are analyzed based on ontology modeling primitives. Ontology construction method of aircraft fault knowledge is proposed learning from software engineering and the essence of the existing ontology construction methodology. On the basis of the above study, aircraft fault ontology which is consist of Fault Core sub-ontology, Product domain sub-ontology, Case domain sub-ontology, and Diagnosis domain sub-ontology is build, and it represents aircraft fault knowledge completely and consistently, and also lays the foundation for knowledge management of aircraft fault.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

350-355

Citation:

Online since:

November 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[2] A.G. Perez, V.R. Benjamins, Overview of Knowledge Sharing and Reuse Components: Ontologies and Problem-Solving Methods, IJCAI-99, Stockholm, (1999).

Google Scholar

[3] Information on http: /citeseer. ist. psu. edu/gruber93toward. html.

Google Scholar

[4] Z.Y. Feng, W.J. Li, and X.H. Li, Ontology engineering and application, Tsinghua University Press, Beijing, (2007).

Google Scholar

[5] W.H. Du, Research on construction of ontology and application for digital library, Wuhan University, Wuhan, (2005).

Google Scholar

[6] Information on http: /www. w3. org/TR/owl-features.

Google Scholar

[7] Information on http: /protege. stanford. edu.

Google Scholar

[8] Y. Zhou, Q. Li, and Y.P. Zuo, Fault knowledge management in aircraft maintenance, ICRMS 2009, Chengdu, China, 2009, 645–649.

Google Scholar

[9] Y. Zhou, Q. Li, and L. Peng, Integration of Deep and Shallow Aircraft Fault Knowledge, ICCSN 2011, Chengdu, China, 2011, 320-324.

Google Scholar

Y. Zhou, Q. Li, Ontology modeling and semantic retrieval for aircraft fault knowledge, Computer Engineering and Applications, 2011, 47(16), 12-15, 31.

Google Scholar