大规模地球科学知识图谱构建与共享应用框架研究与实践

doi:10.12082/dqxxkx.2023.210696

Abstract

Abstract:

Geoscience Knowledge Graph (GKG) has strong capabilities of knowledge representation and semantic reasoning, thereby becoming a required infrastructure for the development of geoscience big data and geoscience artificial intelligence. However, existing studies on GKG were mainly conducted under the experimental scenarios. Because of a lack of research on the general framework of construction methods, sharing, and application of large-scale GKG for practical applications, it has not been used in practical applications in the geoscience field. For this reason, towards the needs of research and applications of geoscience big data and artificial intelligence for GKG, this paper first studied the construction techniques of large-scale GKG. Then, a general framework for covering the lifecycle of GKG including its construction, sharing, and application was proposed. Taking the big science program “Deep-Time Digital Earth (DDE)” as an example, the practice of developing GKG platform towards the practical application of DDE was carried out. Using this platform, this paper realized the construction of DDE large-scale GKG, the open sharing and application of built GKG, proving that the proposed framework can effectively support the construction, sharing, and application of large-scale GKG. This paper plays an important role in promoting the realization of the practical application value of GKG.

Key words: geoscience knowledge graph, geoscience ontology, knowledge mining, knowledge representation, knowledge sharing, knowledge service, knowledge application

ZHU Yunqiang, SUN Kai, HU Xiumian, LV Hairong, WANG Xinbing, YANG Jie, WANG Shu, LI Weirong, SONG Jia, SU Na, MU Xinglin. Research and Practice on the Framework for the Construction, Sharing, and Application of Large-scale Geoscience Knowledge Graphs[J].Journal of Geo-information Science, 2023, 25(6): 1215-1227.DOI:10.12082/dqxxkx.2023.210696

Figures/Tables 6

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Research and Practice on the Framework for the Construction, Sharing, and Application of Large-scale Geoscience Knowledge Graphs

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