CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 12511 > Article
Paper
3 February 2023 Research on knowledge extraction method for government affairs
Huafen Xiong
Author Affiliations +
Proceedings Volume 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022); 125110S (2023) https://doi.org/10.1117/12.2660296
Event: Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 2022, Hulun Buir, China
Abstract
With the increasing complexity of urban scale and social structure, the phenomenon of "data island", repeated data collection, difficult sharing and other problems occur frequently in government data. This paper studies the knowledge extraction technology in knowledge graph to provide data support for the subsequent construction of knowledge graph of government affairs. Knowledge extraction includes two sub-tasks: named entity recognition and relation extraction. Machine learning method is used to extract entities and relations, and the knowledge graph of government affairs is constructed based on the extracted entity and relation data. Building a good government affairs knowledge graph plays a crucial role in mining the connections between different types of government affairs entities, and it is also of great significance for information extraction in the following application fields.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Huafen Xiong "Research on knowledge extraction method for government affairs", Proc. SPIE 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 125110S (3 February 2023); https://doi.org/10.1117/12.2660296
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
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
 6 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Computer programming
Databases
Data acquisition
Data storage
Data processing
Feature extraction
Transformers
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top