@Article{jai.2021.018648,
AUTHOR = {Weiyu Guo, Ruixiang Jia, Ying Zhang},
TITLE = {Semantic Link Network Based Knowledge Graph Representation and Construction},
JOURNAL = {Journal on Artificial Intelligence},
VOLUME = {3},
YEAR = {2021},
NUMBER = {2},
PAGES = {73--79},
URL = {http://www.techscience.com/jai/v3n2/42532},
ISSN = {2579-003X},
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.},
DOI = {10.32604/jai.2021.018648}
}