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DDE KG Editor: A data service system for knowledge graph construction in geoscience.

Authors :
Hou, Chengbin
Liu, Kaichuang
Wang, Tianheng
Shi, Shunzhong
Li, Yan
Zhu, Yunqiang
Hu, Xiumian
Wang, Chengshan
Zhou, Chenghu
Lv, Hairong
Source :
Geoscience Data Journal. Oct2024, Vol. 11 Issue 4, p1073-1085. 13p.
Publication Year :
2024

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20496060
Volume :
11
Issue :
4
Database :
Academic Search Index
Journal :
Geoscience Data Journal
Publication Type :
Academic Journal
Accession number :
180280447
Full Text :
https://doi.org/10.1002/gdj3.245