Knowledge-based Retrieval Methods for Enhancing Aerospace Model Software Documentation

Addressing the critical challenges of poor structure, weak relevance, and limited reusability in aerospace model software development documents, we propose a knowledge-based retrieval method. This method constructs a knowledge base by analyzing key document features, including storage methods, file formats, content structure, inter-document associations, and naming conventions. The system implements structured document management and associates documents based on software configuration information. By partitioning the retrieval domain, constructing semantic vectors, and applying multi-dimensional weight configurations, the method enables efficient retrieval in domains characterized by dense information and frequent term repetition. An aerospace model software document retrieval system has been developed and preliminarily implemented in an aerospace enterprise, demonstrating its effectiveness in improving retrieval efficiency and enhancing the reuse of development knowledge.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1145/3707292.3707392
Citations
1
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
0.35
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article

Knowledge-based Retrieval Methods for Enhancing Aerospace Model Software Documentation

Gaohui Chen, Meiqing Wang, Yanhua Gao, Yang Zhang et al.
1 citations
Semantic Web and Ontologies
0.35
article

Knowledge-based Retrieval Methods for Enhancing Aerospace Model Software Documentation

Gaohui Chen, Meiqing Wang, Yanhua Gao, Yang Zhang, Dasheng Wei, Jinjian Duan
article en
1 citations

Abstract

Addressing the critical challenges of poor structure, weak relevance, and limited reusability in aerospace model software development documents, we propose a knowledge-based retrieval method. This method constructs a knowledge base by analyzing key document features, including storage methods, file formats, content structure, inter-document associations, and naming conventions. The system implements structured document management and associates documents based on software configuration information. By partitioning the retrieval domain, constructing semantic vectors, and applying multi-dimensional weight configurations, the method enables efficient retrieval in domains characterized by dense information and frequent term repetition. An aerospace model software document retrieval system has been developed and preliminarily implemented in an aerospace enterprise, demonstrating its effectiveness in improving retrieval efficiency and enhancing the reuse of development knowledge.

Beijing Electronic Science and Technology Institute (CN), Beihang University (CN)
Openalex Percentile: Top 29%
Semantic Web and Ontologies
0.35
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Knowledge-based Retrieval Methods for Enhancing Aerospace Model Software Documentation — Gaohui Chen, Meiqing Wang, et al. · (2024) | TGRS Research Map | TGRS