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 …

Geological maps contain rich geological knowledge, such as faults, structures, minerals, etc.
Automatically and accurately recognition of geological symbols is the basis step for …

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 …

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 …

Geodiversity, defined as the natural range of geological, geomorphological, hydrological,
and soil features, has been explored in a growing number of studies at different spatial …

Urban underground 3D geological modeling can accurately express various geological
phenomena and provide a decision-making basis for urban planning and geological …

Geological modeling currently uses various computer-based applications. Data
harmonization at the semantic level using ontologies is essential to make these applications …

Geological profiles serve as invaluable repositories of data for knowledge extraction and the
identification of geological entities, constituting a fundamental resource in scientific …

Massive disaster-related data and model methods are available in different stages of natural
disaster emergency management; however, they often lack the representation of the …

Owing to the development of natural language processing and deep learning models,
geological text data have become a vital resource for knowledge discovery and have …