A novel knowledge graph construction method of coal mine safety equipment domain

Yan Fu; Yaxin Dong; Ou Ye

doi:10.1117/12.3033045

5 July 2024 A novel knowledge graph construction method of coal mine safety equipment domain

Yan Fu, Yaxin Dong, Ou Ye

Proceedings Volume 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024); 131842W (2024) https://doi.org/10.1117/12.3033045
Event: 3rd International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 2024, Kuala Lumpur, Malaysia

Abstract

With the continuous development of intelligent mine construction, researchers are applying knowledge graph technology to further realize the intellectualization of coal mine. However, in the research field of coal mine safety equipment, there are little organization and construction of relevant knowledge, resulting in fragmentation, redundancy and limited localization of knowledge in this field. Based on this, this paper constructs knowledge graph of coal mine safety equipment to expand knowledge construction in this field. Firstly, self-built CMSE-EntityRel dataset. Secondly, entity relationship joint extraction is carried out based on CasREL-Mine framework. Finally, we use the graph database Neo4j to store and visually display entity and relational knowledge triples. At this stage, we construct the knowledge graph of coal mine safety equipment field. The method adopted in this paper can effectively realize the knowledge construction and organization in the field of coal mine safety equipment, and provides data support for intelligent management level of coal mine safety production.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yan Fu, Yaxin Dong, and Ou Ye "A novel knowledge graph construction method of coal mine safety equipment domain", Proc. SPIE 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 131842W (5 July 2024); https://doi.org/10.1117/12.3033045

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Mining

Safety equipment

Data modeling

Methane

Sensors

Safety

Databases

Show All Keywords

Keywords/Phrases

Search In:

Publication Years