Exploiting knowledge graphs in industrial products and services: A survey of key aspects, challenges, and future perspectives

X Li, M Lyu, Z Wang, CH Chen, P Zheng - Computers in Industry, 2021 - Elsevier
The rapid development of information and communication technologies has enabled a value
co-creation paradigm for develo** industrial products and services, where massive …

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 …

K2: A foundation language model for geoscience knowledge understanding and utilization

C Deng, T Zhang, Z He, Q Chen, Y Shi, Y Xu… - Proceedings of the 17th …, 2024 - dl.acm.org
Large language models (LLMs) have achieved great success in general domains of natural
language processing. In this paper, we bring LLMs to the realm of geoscience with the …

Geoscience knowledge graph in the big data era

C Zhou, H Wang, C Wang, Z Hou, Z Zheng… - Science China Earth …, 2021 - Springer
Since the beginning of the 21st century, the geoscience research has been entering a
significant transitional period with the establishment of a new knowledge system as the core …

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 …

Chinese engineering geological named entity recognition by fusing multi-features and data enhancement using deep learning

Q Qiu, M Tian, Z Huang, Z **e, K Ma, L Tao… - Expert Systems with …, 2024 - Elsevier
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 …

Geoscience knowledge graph (GeoKG): Development, construction and challenges

X Zhang, Y Huang, C Zhang, P Ye - Transactions in GIS, 2022 - Wiley Online Library
Big earth data is a cross‐domain of geoscience and information science, which provides a
novel perspective for solving geoscience problems. Most contemporary research is driven …

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 …

Ontology-based BERT model for automated information extraction from geological hazard reports

K Ma, M Tian, Y Tan, Q Qiu, Z **e, R Huang - Journal of Earth Science, 2023 - Springer
Geological knowledge can provide support for knowledge discovery, knowledge inference
and mineralization predictions of geological big data. Entity identification and relationship …

What is this article about? Generative summarization with the BERT model in the geosciences domain

K Ma, M Tian, Y Tan, X **e, Q Qiu - Earth Science Informatics, 2022 - Springer
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 …