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 …

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 …

A large-scale project produces a lot of text data during construction commonly achieved as
various management reports. Having the right information at the right time can help the …

Large language models (LLMs) have achieved huge success for their general knowledge
and ability to solve a wide spectrum of tasks in natural language processing (NLP). Due to …

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 …

Efficient extraction of information from underground engineering text reports can significantly
enhance project efficiency and quality. Traditional manual analysis is often time-consuming …

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 …

Abstract Three-dimensional (3D) geological modeling from limited and scattered information
is essential for engineering geological investigation and design. Previous studies have …

In recent years, a large amount of data has been accumulated, such as those recorded in
geological journals and report literature, which contain a wealth of information, but these …

Temporal information extraction from social media messages is of critical importance to
several geographical applications. Combined with the characteristics of temporal …