文章基本信息

标题：Ontology-Based Approach for Human Competency Gap Analysis in Air Traffic Management
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作者：Igor Kabashkin ; Nika Tikanashvili
期刊名称：Transport and Telecommunication Journal
印刷版ISSN：1407-6160
电子版ISSN：1407-6179
出版年度：2019
卷号：20
期号：3
页码：279-285
DOI：10.2478/ttj-2019-0024
出版社：Walter de Gruyter GmbH
摘要：The Global Air Navigation Plan (GANP) is a flexible global engineering approach that allows all States to advance their Air Navigation capacities based on their specific operational requirements. Aviation professionals have an essential role in the transition to, and successful implementation of the GANP. The development of new air traffic control technology requires new competencies from operational and maintenance personnel under the circumstances. And this, in turn, requires new education curricula for initial, vocational and advanced training in this area. The paper is focused on the creation of methodology for the partial automation of the comparison of existing and required competences of Air Traffic Management (ATM) personal and synthesis of training courses and modules, using a formal, ontology-based approach as a tool to solve these problems. One of the problems in the implementation of the GANP is that, on the one hand, there are currently no unified requirements for all categories of ATM personnel, and on the other hand, the development of ATM technologies is far ahead of the pace of training of personnel of appropriate qualifications. This problem becomes even more noticeable in countries that have just started an active modernization of ATC systems and do not have enough experience in this field. The paper describes the general methodological approach based on the education ontology modelling for human competency gap analysis in ATM and for gap analysis between the university curricula outcomes and the ATM requirements. The ontology of key personnel competencies issues for the design and integration of large-scale future ATM programmes is proposed.
关键词：Air Traffic Management ; Human Performance ; New Competencies