Combining machine learning and semantic web: A systematic map** study
In line with the general trend in artificial intelligence research to create intelligent systems
that combine learning and symbolic components, a new sub-area has emerged that focuses …
that combine learning and symbolic components, a new sub-area has emerged that focuses …
Knowledge graph construction and application in geosciences: A review
X Ma - Computers & Geosciences, 2022 - Elsevier
Abstract Knowledge graph (KG) is a topic of great interests to geoscientists as it can be
deployed throughout the data life cycle in data-intensive geoscience studies. Nevertheless …
deployed throughout the data life cycle in data-intensive geoscience studies. Nevertheless …
Prompt engineering for zero‐shot and few‐shot defect detection and classification using a visual‐language pretrained model
Zero‐shot learning, applied with vision‐language pretrained (VLP) models, is expected to
be an alternative to existing deep learning models for defect detection, under insufficient …
be an alternative to existing deep learning models for defect detection, under insufficient …
Mineral prospectivity map** using deep self-attention model
Multi-source data integration for mineral prospectivity map** (MPM) is an effective
approach for reducing uncertainty and improving MPM accuracy. Multi-source data (eg …
approach for reducing uncertainty and improving MPM accuracy. Multi-source data (eg …
Construction and application of a knowledge graph for iron deposits using text mining analytics and a deep learning algorithm
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 …
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
A large number of georeferenced quantitative data about rock and geoscience surveys are
buried in geological documents and remain unused. Data analytics and information …
buried in geological documents and remain unused. Data analytics and information …
Chinese engineering geological named entity recognition by fusing multi-features and data enhancement using deep learning
The engineering geology report serves as a comprehensive portrayal of the geological
conditions and information within a surveyed region, making it highly valuable for extracting …
conditions and information within a surveyed region, making it highly valuable for extracting …
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 …
occurrence process of geological disasters contain unstructured geoscientific data that are …
[HTML][HTML] Visual analytics and information extraction of geological content for text-based mineral exploration reports
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 …
utilized. Text mining enables the discovery and analysis of valuable information, and …
[HTML][HTML] A question answering system based on mineral exploration ontology generation: A deep learning methodology
Mineral exploration reports and documents are a rich data source that contains a large
amount of geological environments in which mineral deposits form. Among them, it is difficult …
amount of geological environments in which mineral deposits form. Among them, it is difficult …