Open Access
ARTICLE
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:
Journal on Artificial Intelligence 2021, 3(2), 73-79. https://doi.org/10.32604/jai.2021.018648
Received 15 March 2021; Accepted 26 April 2021; Issue published 08 May 2021
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.
Keywords
Cite This Article
W. Guo, R. Jia and Y. Zhang, "Semantic link network based knowledge graph representation and construction,"
Journal on Artificial Intelligence, vol. 3, no.2, pp. 73–79, 2021. https://doi.org/10.32604/jai.2021.018648