[HTML][HTML] Multi-granularity retrieval of mineral resource geological reports based on multi-feature association

K Ma, J Deng, M Tian, L Tao, J Liu, Z **e, H Huang… - Ore Geology …, 2024 - Elsevier
Massive geologic report contains all kinds of multimodal geologic data information (geologic
text, geologic maps, geologic tables, etc.), which contain a lot of rich geologic basic …

[PDF][PDF] Knowledge System, Ontology, and Knowledge Graph of the Deep-Time Digital Earth (DDE): Progress and Perspective

X Hu, Y Xu, X Ma, Y Zhu, C Ma, C Li, H Lü… - Journal of Earth …, 2023 - es.nju.edu.cn
Knowledge graph is a field of Artificial Intelligence (AI) that aims to represent knowledge in
the form of graphs, consisting of nodes and edges which represent entities and relationships …

[HTML][HTML] Construction of a fluvial facies knowledge graph and its application in sedimentary facies identification

L Zhang, M Hou, A Chen, H Zhong, JG Ogg… - Geoscience …, 2023 - Elsevier
Lithofacies paleogeography is a data-intensive discipline that involves the interpretation and
compilation of sedimentary facies. Traditional sedimentary facies analysis is a labor …

[PDF][PDF] A Method for Constructing an Urban Waterlogging Emergency Knowledge Graph Based on Spatiotemporal Processes

W Mao, J Shen, Q Su, S Liu, S Pirasteh… - … International Journal of …, 2024 - researchgate.net
Urban waterlogging is one of the major “diseases” faced by cities, posing a great challenge
to the healthy and sustainable development of cities. The traditional geographic knowledge …

Joint extraction of entity relations from geological reports based on a novel relation graph convolutional network

M Tian, K Ma, Q Wu, Q Qiu, L Tao, Z **e - Computers & Geosciences, 2024 - Elsevier
Geological reports house a wealth of geological domain knowledge and expert experience
knowledge, and the efficient extraction of geological entity relations from these texts holds …

[HTML][HTML] Semantically triggered qualitative simulation of a geological process

Y Qu, E Kamburjan, A Torabi, M Giese - Applied Computing and …, 2024 - Elsevier
The field of geology has been the subject of a range of research efforts aiming to formalize
geological domain knowledge, notably through geological domain ontologies. The main …

[HTML][HTML] Risk Assessment of Typhoon Disaster Chain Based on Knowledge Graph and Bayesian Network

Y Lu, S Qiao, Y Yao - Sustainability, 2025 - mdpi.com
Typhoon disasters not only trigger secondary disasters, such as rainstorms and flooding, but
also bring many negative impacts on the normal operation of urban infrastructure and the …

[HTML][HTML] Semantic information extraction and search of mineral exploration data using text mining and deep learning methods

Q Qiu, M Tian, L Tao, Z **e, K Ma - Ore Geology Reviews, 2024 - Elsevier
Large-scale mineral resource reports offer a wealth of information for geological knowledge
mining and mineral explorers' knowledge discovery. The geological conditions in which …

[PDF][PDF] The geoscience knowledge system, ontology and knowledge graph for data-driven discovery: Preface

X Hu, X Ma, C Ma, H Lv - Geoscience Frontiers, 2023 - geosciencefrontiers.com
Earth science data have shown rapid growth since the 21st century with the improvement of
experimental instruments and testing methods. This provides a basis for revealing the …

[HTML][HTML] A “Pipeline”-Based Approach for Automated Construction of Geoscience Knowledge Graphs

Q Feng, T Zhao, C Liu - Minerals, 2024 - mdpi.com
With the development of technology, Earth Science has entered a new era. Continuous
research has generated a large amount of Earth Science data, including a significant …