基于知识图谱的航天器数字资源建设
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Construction of Spacecraft Digital Resources Based on Knowledge Graph
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    摘要:

    随着我国航天事业的蓬勃发展,航天技术已居世界前列。以资源数字化与知识图谱工具的使用为驱动,实现航天器数据的深度挖掘与展示,将航天器数据资源构建成可共享的立体数字资源。以公开的航天器数据为研究对象,采用深度学习模型进行信息抽取,借助Protege构建航天器本体,结合Neo4j数据库构建航天器知识图谱。航天器知识图谱能够提高航天器数据资源的数字化再利用,同时也能利用航天器知识图谱来对数据进行查询服务,能够实现未来航天器数据资源的数字化、智能化发展,进一步推动航天领域的发展和创新。

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    China's space industry is thriving and space technology is world class. Driven by digitization of resources and use of knowledge mapping tools, deep mining and demonstration of spacecraft data was carried out, and spacecraft data resources were constructed into shared stereoscopic digital resources.Taking open spacecraft data as the research object, using deep learning model to extract information, using Protege to construct spacecraft ontology, combining Neo4j database to construct spacecraft knowledge map.The spacecraft knowledge graph can improve the digital reuse of spacecraft data resources, at the same time, it can also use the spacecraft knowledge graph to query the data, which can realize the digital and intelligent development of spacecraft data resources in the future, and further promote the development and innovation of the aerospace field.

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陈恒,马鑫君,梁艺多,李正光.基于知识图谱的航天器数字资源建设[J].科技与产业,2024,24(02):42-49

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  • 在线发布日期: 2024-02-21
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