Construction of Military Knowledge Graph Based on Paper Bibliographic Data

Dandan Song; Yuan Li; Qinglin Wang

doi:10.1109/CCDC52312.2021.9602697

Construction of Military Knowledge Graph Based on Paper Bibliographic Data

Dandan Song, Yuan Li, Qinglin Wang

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2297-2301
Number of pages	5
ISBN (Electronic)	9781665440899
DOIs	https://doi.org/10.1109/CCDC52312.2021.9602697
Publication status	Published - 2021
Event	33rd Chinese Control and Decision Conference, CCDC 2021 - Kunming, China Duration: 22 May 2021 → 24 May 2021

Publication series

Name	Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021

Conference

Conference	33rd Chinese Control and Decision Conference, CCDC 2021
Country/Territory	China
City	Kunming
Period	22/05/21 → 24/05/21

Keywords

Entity Recognition
Entity classification
Knowledge Framework
Knowledge graph

Access to Document

10.1109/CCDC52312.2021.9602697

Cite this

Song, D., Li, Y., & Wang, Q. (2021). Construction of Military Knowledge Graph Based on Paper Bibliographic Data. In Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021 (pp. 2297-2301). (Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCDC52312.2021.9602697

@inproceedings{287f2a4ead064ee68d195128db21c692,

title = "Construction of Military Knowledge Graph Based on Paper Bibliographic Data",

abstract = "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.",

keywords = "Entity Recognition, Entity classification, Knowledge Framework, Knowledge graph",

author = "Dandan Song and Yuan Li and Qinglin Wang",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 33rd Chinese Control and Decision Conference, CCDC 2021 ; Conference date: 22-05-2021 Through 24-05-2021",

year = "2021",

doi = "10.1109/CCDC52312.2021.9602697",

language = "English",

series = "Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2297--2301",

booktitle = "Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021",

address = "United States",

}

Song, D , Li, Y & Wang, Q 2021, Construction of Military Knowledge Graph Based on Paper Bibliographic Data. in Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021. Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021, Institute of Electrical and Electronics Engineers Inc., pp. 2297-2301, 33rd Chinese Control and Decision Conference, CCDC 2021, Kunming, China, 22/05/21. https://doi.org/10.1109/CCDC52312.2021.9602697

Construction of Military Knowledge Graph Based on Paper Bibliographic Data. / Song, Dandan ; Li, Yuan; Wang, Qinglin.
Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 2297-2301 (Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Construction of Military Knowledge Graph Based on Paper Bibliographic Data

AU - Song, Dandan

AU - Li, Yuan

AU - Wang, Qinglin

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 -

Construction of Military Knowledge Graph Based on Paper Bibliographic Data

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Keywords

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