Artificial intelligence for mineral exploration: A review and perspectives on future directions from data science

F Yang, R Zuo, OP Kreuzer - Earth-Science Reviews, 2024 - Elsevier
The massive accumulation of available multi-modal mineral exploration data for most
metallogenic belts worldwide provides abundant information for the discovery of mineral …

Geodata science-based mineral prospectivity map**: A review

R Zuo - Natural Resources Research, 2020 - Springer
This paper introduces the concept of geodata science-based mineral prospectivity map**
(GSMPM), which is based on analyzing the spatial associations between geological …

Construction and application of a knowledge graph for iron deposits using text mining analytics and a deep learning algorithm

Q Qiu, K Ma, H Lv, L Tao, Z **e - Mathematical Geosciences, 2023 - Springer
Reports on mineral exploration provide several insights regarding the geological settings of
mineral deposits. However, because the reports are presented as unstructured text, it can be …

Automatic spatiotemporal and semantic information extraction from unstructured geoscience reports using text mining techniques

Q Qiu, Z **e, L Wu, L Tao - Earth Science Informatics, 2020 - Springer
A large number of georeferenced quantitative data about rock and geoscience surveys are
buried in geological documents and remain unused. Data analytics and information …

Chinese named entity recognition in the geoscience domain based on BERT

X Lv, Z **e, D Xu, X **, K Ma, L Tao… - Earth and Space …, 2022 - Wiley Online Library
Geological reports are frequently used by geologists involved in geological surveys and
scientific research to record the results and outcomes of geological surveys. With such a rich …

Introduction to the special issue on spatial modelling and analysis of ore-forming processes in mineral exploration targeting

OP Kreuzer, M Yousefi, V Nykänen - Ore Geology Reviews, 2020 - Elsevier
Ore deposits are diverse with much of their diversity attributable to the complex interplay of
ore-forming processes with a variety of geological environments, over a range of scales and …

[HTML][HTML] Visual analytics and information extraction of geological content for text-based mineral exploration reports

B Wang, K Ma, L Wu, Q Qiu, Z **e, L Tao - Ore Geology Reviews, 2022 - Elsevier
A large amount of continuously increasing textual geoscience data is stored and not fully
utilized. Text mining enables the discovery and analysis of valuable information, and …

Text visualization for geological hazard documents via text mining and natural language processing

Y Ma, Z **e, G Li, K Ma, Z Huang, Q Qiu, H Liu - Earth Science Informatics, 2022 - Springer
An increasing number of geological hazard documents about the mechanism and
occurrence process of geological disasters contain unstructured geoscientific data that are …

Understanding ore-forming conditions using machine reading of text

M Enkhsaikhan, EJ Holden, P Duuring, W Liu - Ore Geology Reviews, 2021 - Elsevier
Mineral exploration reports assist present day exploration by providing valuable
observations about the geological environments in which mineral deposits form. Querying …

Applications of Natural Language Processing to Geoscience Text Data and Prospectivity Modeling

CJM Lawley, MG Gadd, M Parsa, GW Lederer… - Natural Resources …, 2023 - Springer
Geological maps are powerful models for visualizing the complex distribution of rock types
through space and time. However, the descriptive information that forms the basis for a …