Question-Answer on Geological Elements along Railways Based on Knowledge Graph and Deep Learning

The optimal organization and efficient management of geological elements data along the railway are very important to ensure the safety of railway construction and operation. However, the complexity and diversity of geological data make the traditional methods have problems such as poor data fusion, low query efficiency and low level of intelligence. To this end, the intelligent question-answer solution of geological elements knowledge supported by knowledge graph and deep learning is proposed, and the intelligent question-answer prototype system of geological elements knowledge along the railway is developed. The results show that the method and system constructed can effectively improve the processing efficiency of the knowledge and the intelligent level of management application, providing scientific reference and intelligent means for the optimization of railway construction and operation departments in China.

Authors

Institutions

Publication Details

Published
2025-04-25
DOI
https://doi.org/10.1109/icgmrs66001.2025.11065551
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Question-Answer on Geological Elements along Railways Based on Knowledge Graph and Deep Learning

Panpan Song, Zechun Huang
Geochemistry and Geologic Mapping
article

Question-Answer on Geological Elements along Railways Based on Knowledge Graph and Deep Learning

Panpan Song, Zechun Huang
article en

Abstract

The optimal organization and efficient management of geological elements data along the railway are very important to ensure the safety of railway construction and operation. However, the complexity and diversity of geological data make the traditional methods have problems such as poor data fusion, low query efficiency and low level of intelligence. To this end, the intelligent question-answer solution of geological elements knowledge supported by knowledge graph and deep learning is proposed, and the intelligent question-answer prototype system of geological elements knowledge along the railway is developed. The results show that the method and system constructed can effectively improve the processing efficiency of the knowledge and the intelligent level of management application, providing scientific reference and intelligent means for the optimization of railway construction and operation departments in China.

Southwest Jiaotong University (CN)
Climate action
Openalex Percentile: Top 92%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.