Extracting fact-condition relation from geological papers via deep structured semantic model with multi-grained representation

Q Chen, H Yao, D Zhou, S Li, L Dong - Computers & Geosciences, 2023 - Elsevier
The fact-condition statement plays a significant role in the geological papers, where
geological theory or phenomenon as a fact is constrained by its precondition. This constraint …

A deep learning-based method for deep information extraction from multimodal data for geological reports to support geological knowledge graph construction

Y Chen, M Tian, Q Wu, L Tao, T Jiang, Q Qiu… - Earth Science …, 2024 - Springer
Earth science research has entered a period of major transition centered on building new
knowledge systems and driven by the overwhelming availability of vast amounts of data …

Understanding geological reports based on knowledge graphs using a deep learning approach

B Wang, L Wu, Z Xie, Q Qiu, Y Zhou, K Ma… - Computers & Geosciences, 2022 - Elsevier
Geological reports aid in understanding exploration by providing valuable information on
rock formation, evolution and the geological environment in which deposits formed …

[HTML][HTML] Geological profile-text information association model of mineral exploration reports for fast analysis of geological content

Q Qiu, B Wang, K Ma, Z Xie - Ore Geology Reviews, 2023 - Elsevier
Mineral exploration reports include not only a large number of geological profiles but also
geological text by offering valuable information and knowledge about the geological …

[HTML][HTML] Fact-condition statements and super relation extraction for geothermic knowledge graphs construction

Q Chen, H Yao, S Li, X Li, X Kang, W Lai, J Kuang - Geoscience Frontiers, 2023 - Elsevier
Researchers utilize information from the geoscience literature to deduce the regional or
global geological evolution. Traditionally this process has relied on the labor of researchers …

Chinese mineral question and answering system based on knowledge graph

C Liu, X Ji, Y Dong, M He, M Yang, Y Wang - Expert Systems with …, 2023 - Elsevier
Mineral knowledge acquisition is indispensable in geological research. Currently, mineral
knowledge can be acquired though a search engine like Google, or though some mineral …

Deep learning-based named entity recognition and knowledge graph construction for geological hazards

R Fan, L Wang, J Yan, W Song, Y Zhu… - … International Journal of …, 2019 - mdpi.com
Constructing a knowledge graph of geological hazards literature can facilitate the reuse of
geological hazards literature and provide a reference for geological hazard governance …

A multi-granularity knowledge association model of geological text based on hypernetwork

C Zhuang, W Li, Z Xie, L Wu - Earth Science Informatics, 2021 - Springer
With the explosive growth of geological data, considerable researches are focused on
accurately retrieving specific information from massive data and fully exploiting the potential …

Research on the joint extraction method of entity relations in geological domain

Q Qinjun, W Bin, X Dexin, MA Kai… - … Journal of China …, 2023 - geology.nju.edu.cn
Entity relationship extraction for the geological domain is the basis for building a geological
knowledge graph, and is very important for text information extraction and knowledge base …

Intelligent learning for knowledge graph towards geological data

Y Zhu, W Zhou, Y Xu, J Liu, Y Tan - Scientific Programming, 2017 - Wiley Online Library
Knowledge graph (KG) as a popular semantic network has been widely used. It provides an
effective way to describe semantic entities and their relationships by extending ontology in …