TY - GEN
T1 - Construction of Military Knowledge Graph Based on Paper Bibliographic Data
AU - Song, Dandan
AU - Li, Yuan
AU - Wang, Qinglin
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In order to solve the problems of sparse data distribution, weak correlation between data, and difficulty in efficient use of data in the retrieval process of academic research content in the military industry, a method for constructing military knowledge graph based on bibliographic data of military disciplines is proposed. This method designs the structure of the knowledge graph according to the characteristics of the bibliographic information of the paper, which uses information-rich paper titles and keywords to study entity recognition, entity classification, knowledge storage and display. Finally, based on the idea of distributed storage, a knowledge graph service system is built, which improves the intuitiveness and relevance of knowledge, and provides certain significance for academic research in the military field.
AB - In order to solve the problems of sparse data distribution, weak correlation between data, and difficulty in efficient use of data in the retrieval process of academic research content in the military industry, a method for constructing military knowledge graph based on bibliographic data of military disciplines is proposed. This method designs the structure of the knowledge graph according to the characteristics of the bibliographic information of the paper, which uses information-rich paper titles and keywords to study entity recognition, entity classification, knowledge storage and display. Finally, based on the idea of distributed storage, a knowledge graph service system is built, which improves the intuitiveness and relevance of knowledge, and provides certain significance for academic research in the military field.
KW - Entity Recognition
KW - Entity classification
KW - Knowledge Framework
KW - Knowledge graph
UR - http://www.scopus.com/inward/record.url?scp=85125185967&partnerID=8YFLogxK
U2 - 10.1109/CCDC52312.2021.9602697
DO - 10.1109/CCDC52312.2021.9602697
M3 - Conference contribution
AN - SCOPUS:85125185967
T3 - Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021
SP - 2297
EP - 2301
BT - Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 33rd Chinese Control and Decision Conference, CCDC 2021
Y2 - 22 May 2021 through 24 May 2021
ER -