Vol.3, No.2, 2021, pp.73-79, doi:10.32604/jai.2021.018648
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:
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
Knowledge graph; semantic link network; knowledge application
Cite This Article
. , "Semantic link network based knowledge graph representation and construction," Journal on Artificial Intelligence, vol. 3, no.2, pp. 73–79, 2021.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.