This preprint is under consideration at Journal of Big Data. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
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Research
Seyed Reza Kamel
Islamic Azad University Mashhad Branch
Corresponding Author
ORCiD: https://orcid.org/0000-0003-3043-0207
License:
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The analysis of various data is a challenging issue in the field of air traffic flow management (ATFM). Managing a large volume of data and their correct interpretation plays a key role in the prevention of air accidents, human errors, and flight interactions. In general, pilots and flight navigators deal with massive information, including flight safety messages, meteorological messages, aviation NOTAMs, aviation company information messages, and airplane system alerts. Air collisions are possible due to the high volume and variety of such information considering the human errors in their interpretation and application. Therefore, attempts should be made to develop systematic information and establish logical communication between large data volumes in order to increase the reliability factor in flights. Recently, the semantic web has been recognized as a novel foundation of knowledge management that relies on ontology (concept modeling language) and effective techniques for the modeling of integrated information systems and eliminating barriers to the interpretation and exchange of data. The present study aimed to propose an efficient infrastructure for ATMs by defining the concepts, rules, and relationships between the concepts related to the scope of flight information. To this end, we designed and implemented the ontology of flight safety messages, which included an important part of flight operation information. In this research, the IPS-based aviation networks and methontology methodology were exploited for the engineering of the ontology of flight messages. In addition, the implementation process was carried out using the Protégé software. The analysis of the system was performed using the actual data of Mashhad Airport, Iran. The obtained data were based on the inbound and outbound flights of the airport, which were collected using the radar system and FDS and normalized. Finally, the implementation of the ontology of flight messages was demonstrated after a case study of several flight examples. The developed ontology could be incorporated into the foundation of an ATN aviation network as an application.
Keywords
Ontology, Semantic Web, Air Traffic Flow, IPS-based Aviation Networks, Ontology, Protégé
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CURRENT STATUS: Under Review
Version 1
Posted 07 Jan, 2021
No community comments so far
Review #5 received
Received 13 Mar, 2021
Editorial decision: Major Revision
On 13 Mar, 2021
Reviewer #6 agreed
On 27 Feb, 2021
Review #4 received
Received 16 Feb, 2021
Review #3 received
Received 16 Feb, 2021
Review #2 received
Received 14 Feb, 2021
Review #1 received
Received 12 Feb, 2021
Reviewer #5 agreed
On 05 Feb, 2021
Reviewer #2 agreed
On 04 Feb, 2021
Reviewer #3 agreed
On 04 Feb, 2021
Reviewer #4 agreed
On 04 Feb, 2021
Reviewer #1 agreed
On 04 Feb, 2021
Reviewers invited
Invitations sent on 03 Feb, 2021
Editor assigned
On 31 Dec, 2020
Submission checks complete
On 31 Dec, 2020
Editor invited
On 31 Dec, 2020
First submitted
On 30 Dec, 2020
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Subject Areas
Geriatrics & Gerontology
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This preprint is under consideration at Journal of Big Data. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research
Seyed Reza Kamel
Islamic Azad University Mashhad Branch
Corresponding Author
ORCiD: https://orcid.org/0000-0003-3043-0207
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 07 Jan, 2021
No community comments so far
Review #5 received
Received 13 Mar, 2021
Editorial decision: Major Revision
On 13 Mar, 2021
Reviewer #6 agreed
On 27 Feb, 2021
Review #4 received
Received 16 Feb, 2021
Review #3 received
Received 16 Feb, 2021
Review #2 received
Received 14 Feb, 2021
Review #1 received
Received 12 Feb, 2021
Reviewer #5 agreed
On 05 Feb, 2021
Reviewer #2 agreed
On 04 Feb, 2021
Reviewer #3 agreed
On 04 Feb, 2021
Reviewer #4 agreed
On 04 Feb, 2021
Reviewer #1 agreed
On 04 Feb, 2021
Reviewers invited
Invitations sent on 03 Feb, 2021
Editor assigned
On 31 Dec, 2020
Submission checks complete
On 31 Dec, 2020
Editor invited
On 31 Dec, 2020
First submitted
On 30 Dec, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Geriatrics & Gerontology
License:
This work is licensed under a CC BY 4.0 License. Read Full License
The analysis of various data is a challenging issue in the field of air traffic flow management (ATFM). Managing a large volume of data and their correct interpretation plays a key role in the prevention of air accidents, human errors, and flight interactions. In general, pilots and flight navigators deal with massive information, including flight safety messages, meteorological messages, aviation NOTAMs, aviation company information messages, and airplane system alerts. Air collisions are possible due to the high volume and variety of such information considering the human errors in their interpretation and application. Therefore, attempts should be made to develop systematic information and establish logical communication between large data volumes in order to increase the reliability factor in flights. Recently, the semantic web has been recognized as a novel foundation of knowledge management that relies on ontology (concept modeling language) and effective techniques for the modeling of integrated information systems and eliminating barriers to the interpretation and exchange of data. The present study aimed to propose an efficient infrastructure for ATMs by defining the concepts, rules, and relationships between the concepts related to the scope of flight information. To this end, we designed and implemented the ontology of flight safety messages, which included an important part of flight operation information. In this research, the IPS-based aviation networks and methontology methodology were exploited for the engineering of the ontology of flight messages. In addition, the implementation process was carried out using the Protégé software. The analysis of the system was performed using the actual data of Mashhad Airport, Iran. The obtained data were based on the inbound and outbound flights of the airport, which were collected using the radar system and FDS and normalized. Finally, the implementation of the ontology of flight messages was demonstrated after a case study of several flight examples. The developed ontology could be incorporated into the foundation of an ATN aviation network as an application.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
Figure 12
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