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Дата издания
09.12.2023На каком языке издана
ISSN
23066172Область исследования
Тип исследования
Аннотация (краткое описание)
Accurate event extraction and analysis are vital for understanding trends and making informed decisions in various domains. This paper presents a concise rule-based approach for event extraction in the aerospace domain, aiming to enhance decision-making processes. The proposed methodology utilizes rule-based pattern-matching techniques to identify and extract events from textual data, such as news articles and research papers. By leveraging linguistic features and syntactic structures, the approach effectively captures event-related information. Additionally, an event map visualization technique is introduced to provide a comprehensive overview of the extracted events and their relationships. The proposed approach, integrated into the Aerospace Expert System (AES), offers a powerful tool for tracking and analyzing events in the aerospace industry. Evaluation results demonstrate the high precision and recall of the rule-based approach, enabling stakeholders to gain valuable insights and make informed decisions in the aerospace domain.DOI
10.32523/2306-6172-2023-11-4-53-68Тип публикаций
Практическое значение
aerospace domain; event extraction; event map visualization; rule-based approachКвартиль
Источник квартиля
SCImago (Scopus)Impact Factor
1.11Количество цитирований
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