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引用次数: 0
摘要
深时数字地球(Deep-time Digital Earth,DDE)是一项创新的国际大科学计划,重点关注地球演化的科学命题,通过协调全球地球科学数据和共享全球地球科学知识来改变地球科学。随着计算机科学的最新进展,地球科学知识图谱在推动 DDE 计划方面发挥了关键作用,它将多个地球科学学科的数据和知识组织成知识图谱(Knowledge Graphs,KGs),从而实现对地球科学知识图谱的计算和推理,以进行数据挖掘和知识发现。然而,构建地球科学知识图谱具有挑战性。虽然已经有了一些构建工具,但它们普遍缺乏协作编辑和同行评审功能,无法构建高质量的大规模地球科学专业知识库。为此,我们开发了一种数据服务系统或工具--DDE KG 编辑器,用于构建地球科学 KG。具体而言,它具有协同编辑、同行评审、贡献记录、智能辅助和讨论论坛等多项特色功能。目前,全球地球科学家已为 22 个学科贡献了 60,000 多个本体。作为一个公共在线平台,该系统的稳定性、可扩展性和智能性正在不断提高,以更好地服务于 DDE 计划。
DDE KG Editor: A data service system for knowledge graph construction in geoscience
Deep-time Digital Earth (DDE) is an innovative international big science program, focusing on scientific propositions of earth evolution, changing Earth Science by coordinating global geoscience data, and sharing global geoscience knowledge. To facilitate the DDE program with recent advances in computer science, the geoscience knowledge graph plays a key role in organizing the data and knowledge of multiple geoscience subjects into Knowledge Graphs (KGs), which enables the calculation and inference over geoscience KGs for data mining and knowledge discovery. However, the construction of geoscience KGs is challenging. Though there have been some construction tools, they commonly lack collaborative editing and peer review for building high-quality large-scale geoscience professional KGs. To this end, a data service system or tool, DDE KG Editor, is developed to construct geoscience KGs. Specifically, it comes with several distinctive features such as collaborative editing, peer review, contribution records, intelligent assistance, and discussion forums. Currently, global geoscientists have contributed over 60,000 ontologies for 22 subjects. The stability, scalability, and intelligence of the system are regularly improving as a public online platform to better serve the DDE program.
Geoscience Data JournalGEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
审稿时长
4 weeks
期刊介绍:
Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered.
An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices.
Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.