Iterative Approach for Information Extraction and Ontology Learning from Textual Aviation Safety Reports

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00312024" target="_blank" >RIV/68407700:21230/17:00312024 - isvavai.cz</a>

Výsledek na webu

<a href="https://rd.springer.com/chapter/10.1007/978-3-319-58451-5_18" target="_blank" >https://rd.springer.com/chapter/10.1007/978-3-319-58451-5_18</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-58451-5_18" target="_blank" >10.1007/978-3-319-58451-5_18</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Iterative Approach for Information Extraction and Ontology Learning from Textual Aviation Safety Reports

Popis výsledku v původním jazyce

Textual aviation safety reports are one of the main resources that contain valuable information to understand incidents and accidents in a high-risk industry such as the aviation domain. The reporting process, hence, is essential to provide these reports. Most of the time, the reporting process is done manually, and typically, poorly structured data are provided by the reporters. Automated content analysis for these reports has attracted researchers to extract the required information to perform many tasks, and they used several techniques to achieve it. Ontologies provide formal and explicit specifications of conceptualizations and play a crucial role in the information extraction process. In this paper, we propose a novel iterative ontology-based approach of information extraction and semantic annotations for aviation safety reports and augmenting back the aviation safety ontology with new concepts and relations depending on the terms already annotated in the discovered report model.

Název v anglickém jazyce

Iterative Approach for Information Extraction and Ontology Learning from Textual Aviation Safety Reports

Popis výsledku anglicky

Textual aviation safety reports are one of the main resources that contain valuable information to understand incidents and accidents in a high-risk industry such as the aviation domain. The reporting process, hence, is essential to provide these reports. Most of the time, the reporting process is done manually, and typically, poorly structured data are provided by the reporters. Automated content analysis for these reports has attracted researchers to extract the required information to perform many tasks, and they used several techniques to achieve it. Ontologies provide formal and explicit specifications of conceptualizations and play a crucial role in the information extraction process. In this paper, we propose a novel iterative ontology-based approach of information extraction and semantic annotations for aviation safety reports and augmenting back the aviation safety ontology with new concepts and relations depending on the terms already annotated in the discovered report model.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/TA04030465" target="_blank" >TA04030465: Výzkum a vývoj progresivních metod pro řízení bezpečnostní výkonnosti leteckých organizací</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

The Semantic Web

ISBN

978-3-319-58450-8

ISSN

0302-9743

e-ISSN

—

Počet stran výsledku

10

Strana od-do

236-245

Název nakladatele

Springer, Cham

Místo vydání

—

Místo konání akce

Portorož

Datum konání akce

28. 5. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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