Natural language processing for aviation safety: extracting knowledge from publicly-available loss of separation reports.

Buselli I, Oneto L, Dambra C, Verdonk Gallego C, García Martínez M, Smoker A, Ike N, Pejovic T, Ruiz Martino P

DOI: 10.12688/openreseurope.14040.2
Published: 2021
Container: Open research Europe
Publisher: Not recorded
Open access: yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.12688/openreseurope.14040.2,
  title = {Natural language processing for aviation safety: extracting knowledge from publicly-available loss of separation reports.},
  author = {Buselli I and Oneto L and Dambra C and Verdonk Gallego C and García Martínez M and Smoker A and Ike N and Pejovic T and Ruiz Martino P},
  year = {2021},
  journal = {Open research Europe},
  doi = {10.12688/openreseurope.14040.2},
  url = {https://doi.org/10.12688/openreseurope.14040.2}
}

RIS

TY  - JOUR
TI  - Natural language processing for aviation safety: extracting knowledge from publicly-available loss of separation reports.
AU  - Buselli I
AU  - Oneto L
AU  - Dambra C
AU  - Verdonk Gallego C
AU  - García Martínez M
AU  - Smoker A
AU  - Ike N
AU  - Pejovic T
AU  - Ruiz Martino P
PY  - 2021
JO  - Open research Europe
DO  - 10.12688/openreseurope.14040.2
UR  - https://doi.org/10.12688/openreseurope.14040.2
ER  -

APA

I, B., L, O., C, D., C, V. G., M, G. M., A, S., N, I., T, P., & P, R. M. (2021). Natural language processing for aviation safety: extracting knowledge from publicly-available loss of separation reports.. Open research Europe. https://doi.org/10.12688/openreseurope.14040.2

Source records

pubmed · retrieved 2026-09-25T13:57:20.938Z