全部 标题 作者
关键词 摘要


The Construction of an Ontology-Based Knowledge Management Model for Departure Procedures

DOI: 10.4236/aast.2016.11004, PP. 32-47

Keywords: Air Traffic Controllers (ATCs), Departure Procedure, Ontology Knowledge, CommonKADS Methodology

Full-Text   Cite this paper   Add to My Lib

Abstract:

With increased global economic development, the air traffic volume (including passengers and parcels) increases every year. Thus, the business-related load on air traffic controllers becomes heavier, which influences their need for frequent learning and training opportunities. Therefore, the only solution is to enhance the performance of the training for the air traffic controllers (ATCs) and to build uniform training procedures and standardized training content, which constitute a shared framework with ontology knowledge. Taking departure operation control processes as an example, the research analyzes an aviation organization framework, with information communication procedures and relevant knowledge assets from the viewpoint of departure processes, to explore a knowledge management model of aviation control. This research studies how explicit knowledge is transformed by CommonKADS methodology using the CommonKADS sheet, and the Unified Modeling Language (UML) graph presentation and ontology model are discussed in this research. This analysis procedure can be applied to the systematic analysis and establishment of similar business-based information systems, allowing this research result to be further shared in different industries

References

[1]  Edwards, E. (1972) Man and Machine: Systems for Safety. Proceedings of British Airline Pilots Association Technical Symposium, British Airline Pilots Association, London, 21-36.
[2]  Chang, Y.H. and Yeh, C.H. (2009) Human Performance Interfaces in Air Traffic Control. Applied Ergonomics, 41, 123-129. http://dx.doi.org/10.1016/j.apergo.2009.06.002
[3]  Hawkins, F.H. (1987) Human Factors in Flight. Gower Technical Press, Aldershot.
[4]  Galster, S.M., Duley, J.A., Masalonis, A.J. and Parasuraman, R. (2001) Air Traffic Controller Performance and Workload under Mature Free Flight: Conflict Detection and Resolution of Aircraft Selfseparation. The International Journal of Aviation Psychology, 11, 71-93.
http://dx.doi.org/10.1207/S15327108IJAP1101_5
[5]  Salden, R.J.C.M., Paas, F., Jeroen, J.G. and Merriënboer, V. (2006) Personalised Adaptive Task Selection in Air Traffic Control: Effects on Training Efficiency and Transfer. Learning and Instruction, 16, 350-362.
http://dx.doi.org/10.1016/j.learninstruc.2006.07.007
[6]  Su, K.W., Wang, H.Y., Li, K.J., Wang, C.H. and Hsiao, P.H. (2011) Designing and Evaluating an Ontology-Based Air Traffic Control Digital Knowledge Learning System. User Science and Engineering (i-USEr), 172-177.
[7]  Lowe, C.E., Cooper, J.D., Chapman, J.M., Barrant, B.J., Twells, R.C.J., Green, E.A., Savage, D.A., Guja, C., Ionescu-Tîroviste, C., Tuomilehto-Wolf, E., Tuomilehto, J., Todd, J.A. and Clayton, D.G. (2005) Cost-Effective Analysis of Candidate Genes Using htSNPs: A Staged Approach. Genes & Immunity, 5, 301-305.
http://dx.doi.org/10.1038/sj.gene.6364064
[8]  Boeing Airplane Company (2005) Statistical Summary of Commercial Jet Airplane Accidents 1959-2006. Boeing Commercial Airplane Group, Seattle.
[9]  Wilson, L. and Asay, D. (1999) Putting Quality in Knowledge Management. Quality Progress, 32, 25-31.
[10]  Zollo, M. and Winter, S.G. (2002) Deliberate Learning and the Evolution of Dynamic Capability. Organization Science, 13, 339-352. http://dx.doi.org/10.1287/orsc.13.3.339.2780
[11]  Davenport, T.H. and Prusak, L. (1998) Working Knowledge. Harvard Business School Press, Boston.
[12]  Boisot, M.H. (1998) Knowledge Assets. Oxford University Press, Oxford.
[13]  Pentland, B.T. (1995) Information Systems and Organizational Learning: The Social Epistemology of Organizational Knowledge Systems. Accounting, Management and Information Technologies, 5, 1-21.
http://dx.doi.org/10.1016/0959-8022(95)90011-X
[14]  Akkermans, H., Schreiber, G., Anjewierden, A., de Hoog, R., Shadbolt, N., de Velde, W.V. and Wielinga, B. (1999) Knowledge Engineering and Management: The CommonKADS Methodology. MIT Press, Cambridge.
[15]  Ying, D. (2005) Ontology: The Enabler for the Semantic Web. Division of Mathematics and Computer Science, Free University, Amsterdam.
[16]  Tan, J. and Poslad, S. (2004) Dynamic Security Reconfiguration for the Semantic Web. Autonomic Computing Systems, 17, 783-797. http://dx.doi.org/10.1016/s0952-1976(04)00118-6
[17]  Sugumaran, V. and Storey, V.C. (2002) Ontologies for Conceptual Modeling: Their Reation, Use, and Management. Data & Knowledge Engineering, 42, 251-271.
http://dx.doi.org/10.1016/S0169-023X(02)00048-4
[18]  Chandrasekaran, B., Josephson, J.R. and Benjamins, V.R. (1999) What Are Ontologies, and Why Do We Need Them? IEEE Intelligent Systems and Their Applications, 14, 20-26.
http://dx.doi.org/10.1109/5254.747902
[19]  Sergey, S. and Tatiana, G. (2006) Development of Educational Ontology for C-Programming. International Journal on Information Theories & Applications, 13, 303-308.
[20]  McGuinness, D.L. and Harmelen, F.V. (2004) OWL Web Ontology Language Overview.
http://www.w3.org/TR/2004/REC-owl-features-20040210/
[21]  Huang, N. and Diao, S. (2008) Ontology-Based Enterprise Knowledge Integration. Third International Conference on Manufacturing Research, Robotics and Computer-Integrated Manufacturing, 24, 562-571. http://dx.doi.org/10.1016/j.rcim.2007.07.007
[22]  Oscar, C., Mariano, F.-L. and Asuncion, G.-P. (2003) Methodologies, Tools and Languages for Building Ontologies. Where Is Their Meeting Point? Data & Knowledge Engineering, 46, 41-64.
http://dx.doi.org/10.1016/S0169-023X(02)00195-7
[23]  Satish, M. (2008) Visual Modeling and Unified Modeling Language (UML): Introduction to UML. Rational Software Corporation.
[24]  Booch, G., Rumbaugh, J. and Jacobson, I. (1998) The Unified Modeling Language Users Guide. Addison-Wesley Professional.
[25]  HoogR. D., Benus, B., Vogler, M. and Metselaar, C. (1996) The CommonKADS Organization Model: Content, Usage and Computer Support. Expert Systems with Applications, 11, 29-40.
http://dx.doi.org/10.1016/0957-4174(96)00003-6

Full-Text

comments powered by Disqus