Research on the Application Mechanism of Enterprise Knowledge Management System Based on Computer Knowledge Graph Technology

• Published in: Proceedings - 2023 International Conference on Internet of Things, Robotics and Distributed Computing, ICIRDC 2023
• Main Author: Xie B.; Rashid I.M.A.
• Format: Conference paper
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2023
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193013356&doi=10.1109%2fICIRDC62824.2023.00092&partnerID=40&md5=7790a4098f32e5df8fe1a2a657286f6d

Computers can process massive and fragmented data information through long-term memory, and classify and correlate them. Therefore, enterprise must build the underlying technology of knowledge graph and cut into the vertical field with the help of computers to manage a large number of knowledge data information at b-end and C-end. Based on the characteristic requirements of the business industry, the rigid demand of enterprise for computer knowledge graph technology is determined. Enterprise have a huge amount of data information, which belongs to non-standardized and fragmented forms such as text, tables and graphics. It is stored in documents. It needs to be sorted into a standardized and related business knowledge graph in order to facilitate the use of relevant staff. In addition, the business documents of enterprise have high requirements for the accuracy and timeliness of data information. Therefore, enterprise need to use computer knowledge graph technology to quickly obtain data information from various channels, sort and classify it with the help of computer, make it structured, and then input it into the corresponding knowledge base. This paper expounds the connotation, main characteristics and basic structure of knowledge graph, analyzes the main risks faced by enterprise' knowledge management, and puts forward some views based on the application of computer knowledge graph technology in enterprise' knowledge management. © 2023 IEEE.