Open Access

ARTICLE

Semantic Link Network Based Knowledge Graph Representation and Construction

Weiyu Guo^1,*, 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.

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Keywords

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