Construction and Teaching Application of Knowledge Graph in the Field of International Trade
Pages 270 - 275
Abstract
This study aims to explore the construction of knowledge graphs in the field of international trade and its effect in teaching applications. By in-depth analysis of the core entities and relationships of international trade, this paper successfully constructs an extensive international trade knowledge graph that integrates information from multiple data sources and provides a novel perspective to understand the complexity of international trade. Furthermore, the research shows how teaching methods based on knowledge graphs can significantly improve students' learning engagement, knowledge mastery, and practical abilities. Through pre- and post-test comparison, student feedback and teaching case analysis, it is proved that knowledge graph can be used as an effective teaching tool to promote students' in-depth understanding and application of international trade concepts. Despite some limitations in data sources and teaching implementation, this study provides valuable insights and suggestions for future research and teaching practice in this area.
References
[1]
Chen, P., Lu, Y., Zheng, V., Chen, X., & Yang, B.: KnowEdu: A System to Construct Knowledge Graph for Education. IEEE Access 6, 31553-31563(2018).
[2]
Sun, K., Liu, Y., Guo, Z., & Wang, C.: Visualization for Knowledge Graph Based on Education Data. Int. J. Softw. Informatics 10, (2016).
[3]
Yan, J., Wang, C., Cheng, W., Gao, M., Zhou, A.: A retrospective of knowledge graphs. Frontiers of Computer Science 12, 55-74 (2018). Link
[4]
Zhong, L., Wu, J., Li, Q., Peng, H., Wu, X.: A Comprehensive Survey on Automatic Knowledge Graph Construction. ACM Computing Surveys 56, 1 - 62 (2023). Link
[5]
Ji, S., Pan, S., Cambria, E., Marttinen, P., Yu, P.S.: A Survey on Knowledge Graphs: Representation, Acquisition, and Applications. IEEE Transactions on Neural Networks and Learning Systems 33, 494-514 (2020). Link
[6]
Noy, N., Gao, Y., Jain, A.N., Narayanan, A., Patterson, A., Taylor, J.: Industry-scale Knowledge Graphs: Lessons and Challenges. Queue 17, 48 - 75 (2019). Link
[7]
Pan, J.Z., Vetere, G., Gómez-Pérez, J.M., Wu, H.: Exploiting Linked Data and Knowledge Graphs in Large Organisations. Springer International Publishing (2017). Link
[8]
Kejriwal, M., Sequeda, J., López, V.: Knowledge graphs: Construction, management and querying. Semantic Web 10, 961-962 (2019). Link
[9]
Liu, C., Li, X., Yu, Y.: Research on Construction Technology of Industry Knowledge Graph. (2020). Link
[10]
Dai, W., Mou, C., Wu, J., & Ye, X. (2023, May). Diabetic Retinopathy Detection with Enhanced Vision Transformers: The Twins-PCPVT Solution. In 2023 IEEE 3rd International Conference on Electronic Technology, Communication and Information (ICETCI) (pp. 403-407). IEEE.
[11]
Chen, P., Lu, Y., Zheng, V., Chen, X., Yang, B.: KnowEdu: A System to Construct Knowledge Graph for Education. IEEE Access 6, 31553-31563 (2018). Link
[12]
Rospocher, M., Erp, M.V., Vossen, P., Fokkens, A., Aldabe, I., Rigau, G., Etxabe, A.S., Ploeger, T., Bogaard, T.: Building event-centric knowledge graphs from news. J. Web Semant. 37-38, 132-151 (2016). Link
[13]
Dai, W., Jiang, Y., Mou, C., & Zhang, C. (2023, September). An Integrative Paradigm for Enhanced Stroke Prediction: Synergizing XGBoost and xDeepFM Algorithms. In Proceedings of the 2023 6th International Conference on Big Data Technologies (pp. 28-32).
[14]
Wang, S., Huang, C., Li, J., Yuan, Y., Wang, F.: Decentralized Construction of Knowledge Graphs for Deep Recommender Systems Based on Blockchain-Powered Smart Contracts. IEEE Access 7, 136951-136961 (2019).
Index Terms
- Construction and Teaching Application of Knowledge Graph in the Field of International Trade
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Published In
April 2024
356 pages
ISBN:9798400718151
DOI:10.1145/3686081
Copyright © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.
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Association for Computing Machinery
New York, NY, United States
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Published: 18 November 2024
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ICDSM 2024
ICDSM 2024: International Conference on Decision Science & Management
April 26 - 28, 2024
Hong Kong, China
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