A Novel Semantic Cohesion Approach for Chinese Airworthiness Regulations: Theory and Application

Niu, Haotian; Ma, Cunbao; Han, Pei; Liu, Siyuan; Ma, Qisheng

doi:10.1109/access.2020.3046294

Cited by 2 publications

(4 citation statements)

References 44 publications

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“…Goncalves et al [22] used a semantic model to evaluate massive open online courses (MOOC) and improved the course quality against the classification results. Niu et al [23] proposed a novel theory of semantic cohesion for Chinese airworthiness regulations and specified four critical elements of the theory, namely, definition, model, theorem, and rules. Koutsomitropoulos et al [24] combined explicit knowledge graph representations with vector-based learning of formal thesaurus terms into a hybrid semantic classification model and demonstrated the good effect of the hybrid model on the classification of biological files in library terminology learning.…”

Section: Literature Reviewmentioning

confidence: 99%

Semantic-Based Classification of Long Texts on Higher Education in China

Chun¹,

Fei²

2021

Discrete Dynamics in Nature and Society

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The development level of higher education (HE) is an important indicator of the development level and development potential of a country. The HE-related document is the mirror to reflect the develop process of the HE. The research of high education (HE) has been developing rapidly in China, resulting in a huge number of texts, such as relevant policies, speech drafts, and yearbooks. The traditional manual classification of HE texts is inefficient and unable to deal with the huge number of HE texts. Besides, the effect of direct classification is rather poor because HE texts tend to be long and exist as an imbalanced dataset. To solve these problems, this paper improves the convolutional neural network (CNN) into the HE-CNN classification model for HE texts. Firstly, Chinese HE policies, speech drafts, and yearbooks (1979–2020) were downloaded from the official website of Chinese Ministry of Education. In total, 463 files were collected and divided into four classes, namely, definition, task, method, and effect evaluation. To handle the huge number of HE texts, the Twitter-latent Dirichlet allocation (LDA) topic model was employed to extract word frequency and critical information, such as age and author, enhancing the training effect of CNN. To address the dataset imbalance problem, CNN parameters were optimized repeatedly through comparative experiments, which further improve the training effect. Finally, the proposed HE-CNN model was found more effective and accurate than other classification models.

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Section: Literature Reviewmentioning

confidence: 99%

Semantic-Based Classification of Long Texts on Higher Education in China

Chun¹,

Fei²

2021

Discrete Dynamics in Nature and Society

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“…61, and detailed explanations of the model construction and training are provided in our earlier research. 18 (1) Principles of selected model…”

Section: Hybrid Methodology For Safety Knowledge Organization and App...mentioning

confidence: 99%

“…A detailed introduction and proof processes of semantic cohesion theory can be found in Ref. 18. Aviation regulation knowledge is defined in the form of description logic as follows:…”

Section: Principle Of Semantic Cohesion Theorymentioning

confidence: 99%

“…Specially, objects constrained by aviation regulations vary, and knowledge of regulations is both scattered and non-structured. 18 Therefore, it is difficult for airworthiness and safety engineers to locate and acquire the required safety information quickly and accurately, which severely limits the effectiveness and objectivity of safety analysis and design for civil aircraft and other socio-technical systems in the aviation domain.…”

Section: Introductionmentioning

confidence: 99%

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A hybrid methodology for knowledge organization and application of Chinese civil aviation regulations from mission safety support perspective

Niu,

Ma,

She

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part G:

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Safety is one of the most important issues in aviation. Aviation regulations provide significant information pertinent to the safety design and operation of aircraft; however, this information has not been effectively used. It is difficult to precisely identify and obtain the necessary information due to massive and unstructured provisions. In this study, a hybrid methodology is proposed to realize knowledge system construction using Chinese Civil Aviation Regulations as the object of study. To realize structured knowledge organization and intelligent knowledge application for aviation regulations, the hybrid methodology integrates a semantic cohesion model, a knowledge recognition model, a knowledge organization model, and a knowledge application model. A knowledge system of aviation regulations is built using the hybrid methodology comprising all knowledge necessary for aviation safety. The system provides intelligent knowledge support for the safety analysis of aircraft from the perspective of control system, including the accurate positioning of control elements and thorough acquisition of control conditions. Experiments were conducted to confirm the accuracy of the proposed method, and the 56,853 knowledge triples contained in the knowledge system supported its reliability. A few examples of knowledge retrieval are provided, focusing on the interaction processes of socio-technical elements during aircraft missions. It takes only a few seconds to acquire the knowledge required for safety analysis. The examples show how the hybrid methodology and knowledge system can be utilized to increase the efficiency of safety analysis for socio-technical systems while advancing intelligent knowledge applications in the aviation domain.

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A Novel Semantic Cohesion Approach for Chinese Airworthiness Regulations: Theory and Application

Cited by 2 publications

References 44 publications

Semantic-Based Classification of Long Texts on Higher Education in China

Semantic-Based Classification of Long Texts on Higher Education in China

A hybrid methodology for knowledge organization and application of Chinese civil aviation regulations from mission safety support perspective

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