中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A unified framework of temporal information expression in geosciences knowledge system

文献类型:期刊论文

作者Wang, Shu; Zhu, Yunqiang; Qi, Yanmin; Hou, Zhiwei; Sun, Kai; Li, Weirong; Hu, Lei; Yang, Jie; Lv, Hairong
刊名GEOSCIENCE FRONTIERS
出版日期2023-09-01
卷号14期号:5页码:101465
ISSN号1674-9871
关键词Unified Time Framework (UTF) Time ontology Geosciences knowledge system Time conversion Time scale Big data
DOI10.1016/j.gsf.2022.101465
产权排序1
文献子类Article
英文摘要Time is an essential reference system for recording objects, events, and processes in the field of geosciences. There are currently various time references, such as solar calendar, geological time, and regional calendar, to represent the knowledge in different domains and regions, which subsequently entails a time conversion process required to interpret temporal information under different time references. However, the current time conversion method is limited by the application scope of existing time ontologies (e.g., ''Jurassic is a period in geological ontology, but a point value in calendar ontology) and the reliance on experience in conversion processes. These issues restrict accurate and efficient calculation of temporal information across different time references. To address these issues, this paper proposes a Unified Time Framework (UTF) in the geosciences knowledge system. According to a systematic time element parsing from massive time references, the proposed UTF designs an independent time root node to get rid of irrelevant nodes when accessing different time types and to adapt to the time expression of different geoscience disciplines. Furthermore, this UTF carries out several designs: to ensure the accuracy of time expressions by designing quantitative relationship definitions; to enable time calculations across different time elements by designing unified time nodes and structures, and to link to the required external ontologies by designing adequate interfaces. By comparing the time conversion methods, the experiment proves the UTF greatly supports accurate and efficient calculation of temporal information across different time references in SPARQL queries. Moreover, it shows a higher and more stable performance of temporal information queries than the time conversion method. With the advent of the Big Data era in the geosciences, the UTF can be used more widely to discover new geosciences knowledge across different time references. & COPY; 2022 China University of Geosciences (Beijing) and Peking University. Published by Elsevier B.V. on behalf of China University of Geosciences (Beijing). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
WOS关键词GEOLOGICAL TIME-SCALE ; ONTOLOGY
WOS研究方向Geology
语种英语
出版者CHINA UNIV GEOSCIENCES, BEIJING
WOS记录号WOS:001046662700001
源URL[http://ir.igsnrr.ac.cn/handle/311030/194514]  
专题资源与环境信息系统国家重点实验室_外文论文
作者单位1.Chinese Academy of Sciences
2.Institute of Geographic Sciences & Natural Resources Research, CAS
3.Guangdong Academy of Sciences
4.Guangzhou Institute of Geography, Guangdong Academy of Sciences
5.University of Chinese Academy of Sciences, CAS
6.Tsinghua University
推荐引用方式
GB/T 7714
Wang, Shu,Zhu, Yunqiang,Qi, Yanmin,et al. A unified framework of temporal information expression in geosciences knowledge system[J]. GEOSCIENCE FRONTIERS,2023,14(5):101465.
APA Wang, Shu.,Zhu, Yunqiang.,Qi, Yanmin.,Hou, Zhiwei.,Sun, Kai.,...&Lv, Hairong.(2023).A unified framework of temporal information expression in geosciences knowledge system.GEOSCIENCE FRONTIERS,14(5),101465.
MLA Wang, Shu,et al."A unified framework of temporal information expression in geosciences knowledge system".GEOSCIENCE FRONTIERS 14.5(2023):101465.

入库方式: OAI收割

来源:地理科学与资源研究所

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