空间资源知识共享平台

IF 2.7 3区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Data & Knowledge Engineering Pub Date : 2024-02-29 DOI:10.1016/j.datak.2024.102286
Marcos Da Silveira, Louis Deladiennee, Emmanuel Scolan, Cedric Pruski
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引用次数: 0

摘要

学术界、工业界和政府机构对空间资源信息的兴趣与日俱增,这凸显了查找、获取、整合和再利用这些信息的难度。虽然信息会定期在互联网上发布,但这些信息在许多不同的网站上以不同的形式传播,包括科学出版物、专利、新闻和报告。我们目前正在开发一个空间资源知识管理和共享平台。该工具依赖于知识图谱和本体的结合使用,将上述文件中包含的领域知识正规化,使其更容易为社区所用。在本文中,我们将介绍在设计和实施该平台过程中采用的知识提取和管理概念及技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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A knowledge-sharing platform for space resources

The ever-increasing interest of academia, industry, and government institutions in space resource information highlights the difficulty of finding, accessing, integrating, and reusing this information. Although information is regularly published on the internet, it is disseminated on many different websites and in different formats, including scientific publications, patents, news, and reports. We are currently developing a knowledge management and sharing platform for space resources. This tool, which relies on the combined use of knowledge graphs and ontologies, formalises the domain knowledge contained in the above-mentioned documents and makes it more readily available to the community. In this article, we describe the concepts and techniques of knowledge extraction and management adopted during the design and implementation of the platform.

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来源期刊
Data & Knowledge Engineering
Data & Knowledge Engineering 工程技术-计算机:人工智能
CiteScore
5.00
自引率
0.00%
发文量
66
审稿时长
6 months
期刊介绍: Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and interaction between these two related fields of interest. DKE reaches a world-wide audience of researchers, designers, managers and users. The major aim of the journal is to identify, investigate and analyze the underlying principles in the design and effective use of these systems.
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