Open AccessConstruction and Application Research of Knowledge Graph in Spacecraft Launch
Author(s) -
Kou Chao,
Tao Liu,
Ma Li,
Jiang Guoyu,
Yuchao Wang,
Yu Zhao
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1754/1/012180
Subject(s) - computer science , spacecraft , graph , knowledge representation and reasoning , knowledge base , inference , inference engine , knowledge graph , knowledge integration , knowledge based systems , artificial intelligence , theoretical computer science , engineering , aerospace engineering
In this paper, through analyzing the necessity of constructing a knowledge graph in spacecraft launch, we construct and use a knowledge graph in spacecraft launch, which serves as not only an effective way of solving the problem of "sparse knowledge" and "incomplete knowledge" in a sea of data but also a basis for achieving Semantic Artificial Intelligence (Semantic AI) and complex data analytics and applications. On the basis of understanding the basic technical architecture of knowledge graph, this paper analyzes the construction approaches of the knowledge graph in spacecraft launch in terms of knowledge source, modeling, extraction, fusion, inference, and storage. By means of the knowledge graph, automatic question-answering based on semantic search, fault detection based on machine learning, and portraits of equipment or information system can be achieved at the launch site. In doing so, the intelligent data engineering and construction at the launch site can be improved.