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Semantic Link Network Based Knowledge Graph Representation and Construction

Weiyu Guo1,*, Ruixiang Jia1, Ying Zhang2

1 The School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250353, China
2 Shandong Cable Interactive Service Co., Ltd., Jinan, 250100, China

* Corresponding Author: Weiyu Guo. Email: email

Journal on Artificial Intelligence 2021, 3(2), 73-79. https://doi.org/10.32604/jai.2021.018648

Abstract

A knowledge graph consists of a set of interconnected typed entities and their attributes, which shows a better performance to organize, manage and understand knowledge. However, because knowledge graphs contain a lot of knowledge triples, it is difficult to directly display to researchers. Semantic Link Network is an attempt, and it can deal with the construction, representation and reasoning of semantics naturally. Based on the Semantic Link Network, this paper explores the representation and construction of knowledge graph, and develops an academic knowledge graph prototype system to realize the representation, construction and visualization of knowledge graph.

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APA Style
Guo, W., Jia, R., Zhang, Y. (2021). Semantic link network based knowledge graph representation and construction. Journal on Artificial Intelligence, 3(2), 73-79. https://doi.org/10.32604/jai.2021.018648
Vancouver Style
Guo W, Jia R, Zhang Y. Semantic link network based knowledge graph representation and construction. J Artif Intell . 2021;3(2):73-79 https://doi.org/10.32604/jai.2021.018648
IEEE Style
W. Guo, R. Jia, and Y. Zhang "Semantic Link Network Based Knowledge Graph Representation and Construction," J. Artif. Intell. , vol. 3, no. 2, pp. 73-79. 2021. https://doi.org/10.32604/jai.2021.018648



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