articleArtificial Intelligence ReviewApr 3, 2023HYBRID OA

Knowledge Graphs: Opportunities and Challenges

Federation University · MIT University · +2 more institutions

PubMed
Indexed incrossrefpubmed

Abstract

With the explosive growth of artificial intelligence (AI) and big data, it has become vitally important to organize and represent the enormous volume of knowledge appropriately. As graph data, knowledge graphs accumulate and convey knowledge of the real world. It has been well-recognized that knowledge graphs effectively represent complex information; hence, they rapidly gain the attention of academia and industry in recent years. Thus to develop a deeper understanding of knowledge graphs, this paper presents a systematic overview of this field. Specifically, we focus on the opportunities and challenges of knowledge graphs. We first review the opportunities of knowledge graphs in terms of two aspects: (1) AI…

Citation impact

582
total citations
FWCI
96.28
Percentile
100%
References
142
Citations per year

Authors

4

Topics & keywords

Keywords
  • Knowledge graph
  • Computer science
  • Knowledge engineering
  • Big data
  • Knowledge extraction
  • Conceptual graph
  • Open Knowledge Base Connectivity
  • Knowledge management
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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