Proceedings of the 2021 International conference on Smart Technologies and Systems for Internet of Things (STS-IOT 2021)

Knowledge Map Construction and Visualization with Weight

Authors
Ming Zhao, Yingxu Tai, Shoujin Wang*, Yiwen Li
School of Computer Science and Engineering, Shenyang Jianzhu University, Shenyang, Liaoning, China
*Corresponding author. Email: wangshoujin@sjzu.edu.cn
Corresponding Author
Shoujin Wang
Available Online 2 June 2022.
DOI
https://doi.org/10.2991/ahis.k.220601.036How to use a DOI?
Keywords
Knowledge Map; Weight; Visualization
Abstract

Knowledge map construction and visualization of characters and related information in novel sand films can help readers or audiences understand the content of related works more accurately and quickly. Taking the novel “In the Name of the People” as an example, the occurrence frequency of main characters and co-occurrence frequency between characters are introduced into the knowledge map in the form of weights to form the knowledge map of characters and relationships with weight, and the Web programming technology of JavaScript is used to visualize it. It is compared with the knowledge map constructed by graph database Neo4j. Compared with the knowledge map constructed by Neo4j, the weighted knowledge map of people and relationships can display the importance with weight of characters and the closeness of the connection between characters more intuitively.

Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

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Volume Title
Proceedings of the 2021 International conference on Smart Technologies and Systems for Internet of Things (STS-IOT 2021)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
2 June 2022
ISBN
978-94-6239-581-7
ISSN
2589-4919
DOI
https://doi.org/10.2991/ahis.k.220601.036How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

Cite this article

TY  - CONF
AU  - Ming Zhao
AU  - Yingxu Tai
AU  - Shoujin Wang
AU  - Yiwen Li
PY  - 2022
DA  - 2022/06/02
TI  - Knowledge Map Construction and Visualization with Weight
BT  - Proceedings of the 2021 International conference on Smart Technologies and Systems for Internet of Things (STS-IOT 2021)
PB  - Atlantis Press
SP  - 186
EP  - 190
SN  - 2589-4919
UR  - https://doi.org/10.2991/ahis.k.220601.036
DO  - https://doi.org/10.2991/ahis.k.220601.036
ID  - Zhao2022
ER  -